Stem charact$ (all stems)

744 papers:

DRR-2015-FengPL #process #recognition

Gaussian process style transfer mapping for historical Chinese character recognition (JF, LP, FL).

DHM-HM-2015-WangHM #case study

A Study on Characteristic of Calligraphy Characters Part 1 Analytical Method with Computer Technology (ZW, IH, ZM), pp. 419–428.

DHM-HM-2015-WangHM15a #case study

A Study on Characteristic of Calligraphy Characters Part 3 Case of the Writing Paper with Calligraphy Letter Works (ZW, RH, ZM), pp. 437–444.

DHM-HM-2015-WangLYHM #case study

A Study on Characteristic of Calligraphy Characters Part 2 Case of One Character of Calligraphy Letter “Kanji” and “Hiragana” (ZW, ML, KY, RH, ZM), pp. 429–436.

HIMI-IKC-2015-SejimaSWJ #development

Development of a Speech-Driven Embodied Entrainment Character System with Pupil Response (YS, YS, TW, MJ), pp. 378–386.

LCT-2015-Chu #editing

Dual-Coding Strategy for the Chinese Characters Learners: Chinese PCS Editor (CNC), pp. 43–49.

LCT-2015-HayashiM #design #online

Designing Pedagogical Agents to Evoke Emotional States in Online Tutoring Investigating the Influence of Animated Characters (YH, DMM), pp. 372–383.

DRR-2014-WuZCLN #framework #markov #recognition #segmentation

A Markov chain based line segmentation framework for handwritten character recognition (YW, SZ, HC, DL, PN), p. ?–12.

AFL-2014-Valmari #proving #string

Character Strings and Gödel’s Incompleteness Proof (AV), pp. 355–369.

CSCW-2014-LivingstonGMB #how

How players value their characters in world of warcraft (IJL, CG, RLM, MB), pp. 1333–1343.

DUXU-ELAS-2014-SchmeilS #health #how #quote

“How am I Doing?” — Personifying Health through Animated Characters (AS, LSS), pp. 91–102.

HCI-AIMT-2014-EndrassHHTA #communication #interactive

A Pictorial Interaction Language for Children to Communicate with Cultural Virtual Characters (BE, LEH, CH, ST, EA), pp. 532–543.

ECIR-2014-QiDCW #information management #learning

Deep Learning for Character-Based Information Extraction (YQ, SGD, RC, JW), pp. 668–674.

ICML-c2-2014-SantosZ #learning

Learning Character-level Representations for Part-of-Speech Tagging (CNdS, BZ), pp. 1818–1826.

ICPR-2014-CordellaSFF #classification #random #reliability

Random Forest for Reliable Pre-classification of Handwritten Characters (LPC, CDS, FF, ASdF), pp. 1319–1324.

ICPR-2014-DuHZWD #case study #classification #design #network #online #recognition #using

A Study of Designing Compact Classifiers Using Deep Neural Networks for Online Handwritten Chinese Character Recognition (JD, JSH, BZ, SW, LRD), pp. 2950–2955.

ICPR-2014-GaoWXSZ #recognition #representation

Stroke Bank: A High-Level Representation for Scene Character Recognition (SG, CW, BX, CS, ZZ), pp. 2909–2913.

ICPR-2014-InaiPFFU #privacy

Selective Concealment of Characters for Privacy Protection (KI, MP, VF, YF, SU), pp. 333–338.

ICPR-2014-KunwarPB #network #online #recognition

Semi-supervised Online Bayesian Network Learner for Handwritten Characters Recognition (RK, UP, MB), pp. 3104–3109.

ICPR-2014-OhyamaYWK #recognition #using

Improving Accuracy of Printed Character Recognition Using Hexagonal Zoning of Directional Histogram Feature (WO, AY, TW, FK), pp. 2697–2702.

ICPR-2014-SuLTLT #recognition #using

Character Recognition in Natural Scenes Using Convolutional Co-occurrence HOG (BS, SL, ST, JHL, CLT), pp. 2926–2931.

ICPR-2014-WangCW #recognition

Recognition of Handwritten Characters in Chinese Legal Amounts by Stacked Autoencoders (MW, YC, XW), pp. 3002–3007.

ICPR-2014-YamashitaW #classification #using

k-NN Classification of Handwritten Characters Using a New Distortion-Tolerant Matching Measure (YY, TW), pp. 262–267.

ICPR-2014-ZhouZYL #feature model #polynomial #recognition

Improving Handwritten Chinese Character Recognition with Discriminative Quadratic Feature Extraction (MKZ, XYZ, FY, CLL), pp. 244–249.

SIGIR-2014-GuptaBV #automation #named

CharBoxes: a system for automatic discovery of character infoboxes from books (MG, PB, VV), pp. 1255–1256.

DRR-2013-ShiXJX #integration

Character feature integration of Chinese calligraphy and font (CS, JX, WJ, CX).

DRR-2013-YangP #documentation #segmentation

Local projection-based character segmentation method for historical Chinese documents (LY, LP).

ICDAR-2013-AhmadRFM #modelling #novel #recognition

Novel Sub-character HMM Models for Arabic Text Recognition (IA, LR, GAF, SAM), pp. 658–662.

ICDAR-2013-CecottiV #classification #multi #recognition

Rejection Schemes in Multi-class Classification — Application to Handwritten Character Recognition (HC, SV), pp. 445–449.

ICDAR-2013-CecottiV13a #multi #recognition

A Radial Neural Convolutional Layer for Multi-oriented Character Recognition (HC, SV), pp. 668–672.

ICDAR-2013-DuH #approach #normalisation #online #recognition #variability

An Irrelevant Variability Normalization Based Discriminative Training Approach for Online Handwritten Chinese Character Recognition (JD, QH), pp. 69–73.

ICDAR-2013-FischerFBS #keyword #modelling

Improving HMM-Based Keyword Spotting with Character Language Models (AF, VF, HB, CYS), pp. 506–510.

ICDAR-2013-Furukawa #composition #using

A New Method for Discriminating Printers Based on Contours Qualities of Printed Characters Using Wavelet Decomposition (TF), pp. 1115–1119.

ICDAR-2013-GaoJY #case study #comparative #empirical #online #recognition

An Empirical Comparative Study of Online Handwriting Chinese Character Recognition: Simplified vs. Traditional (YG, LJ, WY), pp. 862–866.

ICDAR-2013-GotoIFU #graph #scalability #set #using

Analyzing the Distribution of a Large-Scale Character Pattern Set Using Relative Neighborhood Graph (MG, RI, YF, SU), pp. 3–7.

ICDAR-2013-HaoGZXPSK #automation #detection #fault #finite #transducer

Automated Error Detection and Correction of Chinese Characters in Written Essays Based on Weighted Finite-State Transducer (SH, ZG, MZ, YX, HP, KS, DK), pp. 763–767.

ICDAR-2013-HigaH #classification #image #recognition

Local Subspace Classifier with Transformation Invariance for Appearance-Based Character Recognition in Natural Images (KH, SH), pp. 533–537.

ICDAR-2013-HuangSU #detection

Scene Character Detection by an Edge-Ray Filter (RH, PS, SU), pp. 462–466.

ICDAR-2013-JunaidiGFV #modelling #statistics

Statistical Modeling of the Relation between Characters and Diacritics in Lampung Script (AJ, RG, GAF, SV), pp. 663–667.

ICDAR-2013-KobayashiIMK #algorithm #recognition

An Anytime Algorithm for Camera-Based Character Recognition (TK, MI, TM, KK), pp. 1140–1144.

ICDAR-2013-LiPXW #analysis #consistency #online #order #verification

A Stroke Order Verification Method for On-Line Handwritten Chinese Characters Based on Tempo-spatial Consistency Analysis (RL, LP, EX, NW), pp. 999–1003.

ICDAR-2013-LuoOWK #approach #automation #classification #using

Automatic Chinese Text Classification Using Character-Based and Word-Based Approach (XL, WO, TW, FK), pp. 329–333.

ICDAR-2013-LuTLGWW #image #segmentation #tablet

Stroke-Based Character Segmentation of Low-Quality Images on Ancient Chinese Tablet (XL, ZT, YL, LG, TW, ZW), pp. 240–244.

ICDAR-2013-MaraK #3d #invariant

Vectorization of 3D-Characters by Integral Invariant Filtering of High-Resolution Triangular Meshes (HM, SK), pp. 62–66.

ICDAR-2013-MaW #automation #component #database #online #optimisation #segmentation

Semi-automatic Tibetan Component Annotation from Online Handwritten Tibetan Character Database by Optimizing Segmentation Hypotheses (LLM, JW), pp. 1340–1344.

ICDAR-2013-MiyoshiNS #image #using

Moment-Based Character-Normalization Methods Using a Contour Image Combined with an Original Image (TM, TN, HS), pp. 1066–1070.

ICDAR-2013-NarangRMH #image #recognition

Devanagari Character Recognition in Scene Images (VN, SR, OVRM, MH), pp. 902–906.

ICDAR-2013-PrumVFO #approach #modelling #online #recognition #using

A Discriminative Approach to On-Line Handwriting Recognition Using Bi-character Models (SP, MV, AF, JMO), pp. 364–368.

ICDAR-2013-RaniDL #identification #multi

Script Identification of Pre-segmented Multi-font Characters and Digits (RR, RD, GSL), pp. 1150–1154.

ICDAR-2013-RayCC #random #recognition #using

Character Recognition Using Conditional Random Field Based Recognition Engine (AR, AC, SC), pp. 18–22.

ICDAR-2013-RazafindramananaRV #approximate #recognition

Alpha*-Approximated Delaunay Triangulation Based Descriptors for Handwritten Character Recognition (OR, FR, GV), pp. 440–444.

ICDAR-2013-RoySSJ #documentation #n-gram #segmentation #using

Character N-Gram Spotting on Handwritten Documents Using Weakly-Supervised Segmentation (UR, NS, KPS, CVJ), pp. 577–581.

ICDAR-2013-SharmaSPBT #multi #segmentation #video #word

A New Method for Character Segmentation from Multi-oriented Video Words (NS, PS, UP, MB, CLT), pp. 413–417.

ICDAR-2013-ShiraiEKIKBWN #documentation

Character Shape Restoration of Binarized Historical Documents by Smoothing via Geodesic Morphology (KS, YE, AK, SI, NK, HB, AW, MN), pp. 1285–1289.

ICDAR-2013-Siriteerakul #classification

Mixed Thai-English Character Classification Based on Histogram of Oriented Gradient Feature (TS), pp. 847–851.

ICDAR-2013-SunBOK #detection #using

Specific Comic Character Detection Using Local Feature Matching (WS, JCB, JMO, KK), pp. 275–279.

ICDAR-2013-TeradaHFU #detection #on the

On the Possibility of Structure Learning-Based Scene Character Detector (YT, RH, YF, SU), pp. 472–476.

ICDAR-2013-TianSPT #re-engineering

Scene Character Reconstruction through Medial Axis (ST, PS, TQP, CLT), pp. 1360–1364.

ICDAR-2013-WangLD #analysis #recognition

Similar Pattern Discriminant Analysis for Improving Chinese Character Recognition Accuracy (YW, CL, XD), pp. 1056–1060.

ICDAR-2013-YinZWL #consistency #recognition

Style Consistent Perturbation for Handwritten Chinese Character Recognition (FY, MKZ, QFW, CLL), pp. 1051–1055.

ICDAR-2013-YiYT #case study #comparative #recognition

Feature Representations for Scene Text Character Recognition: A Comparative Study (CY, XY, YT), pp. 907–911.

ICDAR-2013-ZhangLSM #invariant #rank

Rectification of Optical Characters as Transform Invariant Low-Rank Textures (XZ, ZL, FS, YM), pp. 393–397.

ICDAR-2013-ZhouYL #learning #performance #polynomial #recognition

GPU-Based Fast Training of Discriminative Learning Quadratic Discriminant Function for Handwritten Chinese Character Recognition (MKZ, FY, CLL), pp. 842–846.

LATA-2013-SippuS #multi #online

Online Matching of Multiple Regular Patterns with Gaps and Character Classes (SS, ESS), pp. 523–534.

DUXU-CXC-2013-YouX #testing #usability

A Usability Testing of Chinese Character Writing System for Foreign Learners (MY, YJX), pp. 149–157.

HCI-IMT-2013-MurataHMH #case study #interface #using

Study on Character Input Methods Using Eye-gaze Input Interface (AM, KH, MM, TH), pp. 320–329.

HIMI-D-2013-Enami #challenge

Kanji Characters in Japan — Remaining Challenges (TE), pp. 20–29.

HIMI-D-2013-IshiiW #communication #detection #evaluation #self #video

Evaluation of Superimposed Self-character Based on the Detection of Talkers’ Face Angles in Video Communication (YI, TW), pp. 431–438.

HIMI-D-2013-ManiwaKSA

Changes in Posture of the Upper Extremity Through the Use of Various Sizes of Tablets and Characters (HM, KK, SS, TA), pp. 89–96.

KDIR-KMIS-2013-DimasKV #approach #sentiment #twitter

Every Character Counts — A Character based Approach to Determine Political Sentiment on Twitter (AD, PCK, EMV), pp. 261–266.

DocEng-2012-ChenZ #effectiveness #segmentation #towards

Effective radical segmentation of offline handwritten Chinese characters towards constructing personal handwritten fonts (ZC, BZ), pp. 107–116.

DocEng-2012-MancillaP #named

Charactles: more than characters (BM, JP), pp. 241–244.

DRR-2012-MazalovW

Improving isolated and in-context classication of handwritten characters (VM, SMW).

DRR-2012-WangDL #recognition #string

Post processing for offline Chinese handwritten character string recognition (YW, XD, CL).

CHI-2012-LinderJ #game studies

Playable character: extending digital games into the real world (JL, WJ), pp. 2069–2078.

ICPR-2012-GonzalezBTB #image #recognition

A character recognition method in natural scene images (ÁG, LMB, JJYT, SB), pp. 621–624.

ICPR-2012-HuangOSU #detection #framework #multi #recognition

Scene character detection and recognition based on multiple hypotheses framework (RH, SO, PS, SU), pp. 717–720.

ICPR-2012-KieuVJDM #documentation #image

A character degradation model for grayscale ancient document images (VCK, MV, NJ, JPD, RM), pp. 685–688.

ICPR-2012-NaritaOWK #3d #case study #estimation #recognition

A study on three dimensional rotation-free character recognition and rotation angle estimation of characters (RN, WO, TW, FK), pp. 677–680.

ICPR-2012-ShivakumaraHZTP #video

A new Iterative-Midpoint-Method for video character gap filling (PS, DBH, DZ, CLT, UP), pp. 673–676.

ICPR-2012-SuLPT #image #recognition #web

Character extraction in web image for text recognition (BS, SL, TQP, CLT), pp. 3042–3045.

ICPR-2012-Zhu0N #normalisation #recognition

Discriminative normalization method for handwritten Chinese character recognition (YZ, JS, SN), pp. 274–277.

KDIR-2012-ChueaphunKMC #nearest neighbour #random #recognition #using

Lanna Dharma Printed Character Recognition using k-Nearest Neighbor and Conditional Random Fields (CC, AK, SM, JC), pp. 169–174.

SIGIR-2012-LevelingJ #case study #documentation

Making results fit into 40 characters: a study in document rewriting (JL, GJFJ), pp. 1107–1108.

SAC-2012-ChenZD #algorithm #effectiveness #search-based #segmentation #using

Effective radical segmentation of offline handwritten Chinese characters by using an enhanced snake model and Genetic Algorithm (ZC, BZ, SD), pp. 54–55.

RTA-2012-Schmidt-Schauss

Matching of Compressed Patterns with Character-Variables (MSS), pp. 272–287.

DRR-2011-SuPD #recognition

SemiBoost-based Arabic character recognition method (BS, LP, XD), pp. 1–10.

DRR-2011-ZhuN #online #optimisation #parametricity #recognition

A MRF model with parameter optimization by CRF for on-line recognition of handwritten Japanese characters (BZ, MN), pp. 1–10.

ICDAR-2011-AroraN #framework #recognition

A Semi-supervised SVM Framework for Character Recognition (AA, AMN), pp. 1105–1109.

ICDAR-2011-ChenZN #generative #online #recognition #scalability

Effects of Generating a Large Amount of Artificial Patterns for On-line Handwritten Japanese Character Recognition (BC, BZ, MN), pp. 663–667.

ICDAR-2011-ChoSLK #multi

Scene Text Extraction by Superpixel CRFs Combining Multiple Character Features (MSC, JHS, SL, JHK), pp. 1034–1038.

ICDAR-2011-CiresanMGS #classification #network

Convolutional Neural Network Committees for Handwritten Character Classification (DCC, UM, LMG, JS), pp. 1135–1139.

ICDAR-2011-CoatesCCSSWWN #detection #image #learning #recognition

Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning (AC, BC, CC, SS, BS, TW, DJW, AYN), pp. 440–445.

ICDAR-2011-GaoJHZ #as a service #in the cloud #recognition

Handwriting Character Recognition as a Service: A New Handwriting Recognition System Based on Cloud Computing (YG, LJ, CH, GZ), pp. 885–889.

ICDAR-2011-GaoWJ #2d #optimisation #recognition

A New Feature Optimization Method Based on Two-Directional 2DLDA for Handwritten Chinese Character Recognition (XG, WW, LJ), pp. 232–236.

ICDAR-2011-GatosKP #adaptation #recognition #word

Adaptive Zoning Features for Character and Word Recognition (BG, ALK, AP), pp. 1160–1164.

ICDAR-2011-GatosLS #performance #reduction

Greek Polytonic OCR Based on Efficient Character Class Number Reduction (BG, GL, NS), pp. 1155–1159.

ICDAR-2011-Hase #database #evaluation #image #quality

Quality Evaluation of Character Image Database and Its Application (HH), pp. 1414–1418.

ICDAR-2011-ImpedovoP11a #exponential #recognition

Tuning between Exponential Functions and Zones for Membership Functions Selection in Voronoi-Based Zoning for Handwritten Character Recognition (SI, GP), pp. 997–1001.

ICDAR-2011-IwamuraKK #image #multi #recognition #using

Recognition of Multiple Characters in a Scene Image Using Arrangement of Local Features (MI, TK, KK), pp. 1409–1413.

ICDAR-2011-JiangDLW #algorithm #markov #novel #segmentation #string #using

A Novel Short Merged Off-line Handwritten Chinese Character String Segmentation Algorithm Using Hidden Markov Model (ZJ, XD, CL, YW), pp. 668–672.

ICDAR-2011-KonyaES #using

Character Enhancement for Historical Newspapers Printed Using Hot Metal Typesetting (IVK, SE, CS), pp. 936–940.

ICDAR-2011-KunishigeFU #detection

Scenery Character Detection with Environmental Context (YK, YF, SU), pp. 1049–1053.

ICDAR-2011-LiuZLL #clustering #image #locality

A Chinese Character Localization Method Based on Intergrating Structure and CC-Clustering for Advertising Images (JL, SZ, HL, WL), pp. 1044–1048.

ICDAR-2011-MaLW #database #online #recognition

MRG-OHTC Database for Online Handwritten Tibetan Character Recognition (LLM, HL, JW), pp. 207–211.

ICDAR-2011-NagyZ #image #interactive #named

CalliGUI: Interactive Labeling of Calligraphic Character Images (GN, XZ), pp. 977–981.

ICDAR-2011-NaritaOWK #3d #recognition

Three Dimensional Rotation-Free Recognition of Characters (RN, WO, TW, FK), pp. 824–828.

ICDAR-2011-NewellG #multi #recognition #robust

Multiscale Histogram of Oriented Gradient Descriptors for Robust Character Recognition (AJN, LDG), pp. 1085–1089.

ICDAR-2011-PackerTK #classification #recognition

alpha-Shape Based Classification with Applications to Optical Character Recognition (EP, AT, VK), pp. 344–348.

ICDAR-2011-PanZSN #invariant #using

Recognizing Characters with Severe Perspective Distortion Using Hash Tables and Perspective Invariants (PP, YZ, JS, SN), pp. 548–552.

ICDAR-2011-PhanGZN #normalisation #online #recognition

Effects of Line Densities on Nonlinear Normalization for Online Handwritten Japanese Character Recognition (TVP, JG, BZ, MN), pp. 834–838.

ICDAR-2011-PhanSST #segmentation #video

A Gradient Vector Flow-Based Method for Video Character Segmentation (TQP, PS, BS, CLT), pp. 1024–1028.

ICDAR-2011-PraveenSJ #documentation #image #n-gram

Character n-Gram Spotting in Document Images (MSP, KPS, CVJ), pp. 941–945.

ICDAR-2011-RabaevBEKD #case study

Case Study in Hebrew Character Searching (IR, OB, JES, KK, ID), pp. 1080–1084.

ICDAR-2011-RajendranSSLT #recognition #video #word

A New Fourier-Moments Based Video Word and Character Extraction Method for Recognition (DR, PS, BS, SL, CLT), pp. 1165–1169.

ICDAR-2011-RenLC #automation #recognition #retrieval #segmentation

A New Method on the Segmentation and Recognition of Chinese Characters for Automatic Chinese Seal Imprint Retrieval (CR, DL, YC), pp. 972–976.

ICDAR-2011-RoyRR #documentation #retrieval #using #word

Word Retrieval in Historical Document Using Character-Primitives (PPR, JYR, NR), pp. 678–682.

ICDAR-2011-Santosh #recognition

Character Recognition Based on DTW-Radon (KCS), pp. 264–268.

ICDAR-2011-ShaoWXZZ #distance

Modified Two-Class LDA Based Compound Distance for Similar Handwritten Chinese Characters Discrimination (YS, CW, BX, RZ, LZ), pp. 653–657.

ICDAR-2011-ShaoWXZZ11a #learning #multi

Multiple Instance Learning Based Method for Similar Handwritten Chinese Characters Discrimination (YS, CW, BX, RZ, YZ), pp. 1002–1006.

ICDAR-2011-ShivakumaraBSTP #recognition #segmentation #video

A New Gradient Based Character Segmentation Method for Video Text Recognition (PS, SB, BS, CLT, UP), pp. 126–130.

ICDAR-2011-ShivakumaraPLT #classification #recognition #video

Video Character Recognition through Hierarchical Classification (PS, TQP, SL, CLT), pp. 131–135.

ICDAR-2011-SilvaL #automation #documentation #recognition

An Automatic Method for Enhancing Character Recognition in Degraded Historical Documents (GPeS, RDL), pp. 553–557.

ICDAR-2011-SongUL

Look Inside the World of Parts of Handwritten Characters (WS, SU, ML), pp. 784–788.

ICDAR-2011-SongUL11a #case study #comparative #recognition

Comparative Study of Part-Based Handwritten Character Recognition Methods (WS, SU, ML), pp. 814–818.

ICDAR-2011-SongXZYZ #algorithm #documentation #image #multi

A Handwritten Character Extraction Algorithm for Multi-language Document Image (YS, GX, YZ, LY, LZ), pp. 93–98.

ICDAR-2011-TaoLJG #learning #locality #recognition #using

Similar Handwritten Chinese Character Recognition Using Discriminative Locality Alignment Manifold Learning (DT, LL, LJ, YG), pp. 1012–1016.

ICDAR-2011-UchidaSKF #approach #detection #towards

A Keypoint-Based Approach toward Scenery Character Detection (SU, YS, YK, YF), pp. 819–823.

ICDAR-2011-VajdaJF #approach #learning

A Semi-supervised Ensemble Learning Approach for Character Labeling with Minimal Human Effort (SV, AJ, GAF), pp. 259–263.

ICDAR-2011-WakaharaK #clustering #image #string #using

Binarization of Color Character Strings in Scene Images Using K-Means Clustering and Support Vector Machines (TW, KK), pp. 274–278.

ICDAR-2011-WakaharaY #invariant #recognition

Affine-Invariant Recognition of Handwritten Characters via Accelerated KL Divergence Minimization (TW, YY), pp. 1095–1099.

ICDAR-2011-WangDL #learning #recognition

MQDF Discriminative Learning Based Offline Handwritten Chinese Character Recognition (YW, XD, CL), pp. 1100–1104.

ICDAR-2011-WangZPH #fourier #recognition

Chinese Chess Character Recognition with Radial Harmonic Fourier Moments (KW, HZ, ZP, H), pp. 1369–1373.

ICDAR-2011-WanLZ #online #recognition

On-line Chinese Character Recognition System for Overlapping Samples (XW, CL, YZ), pp. 799–803.

ICDAR-2011-XuYWL #analysis #using

Touching Character Separation in Chinese Handwriting Using Visibility-Based Foreground Analysis (LX, FY, QFW, CLL), pp. 859–863.

ICDAR-2011-ZhangLYDW #random #recognition #using

An Improved Scene Text Extraction Method Using Conditional Random Field and Optical Character Recognition (HZ, CL, CY, XD, KW), pp. 708–712.

ICDAR-2011-ZhuGN #design #online #recognition

Objective Function Design for MCE-Based Combination of On-line and Off-line Character Recognizers for On-line Handwritten Japanese Text Recognition (BZ, JG, MN), pp. 594–598.

ICDAR-2011-ZhuN #online #optimisation #parametricity #recognition #using

On-line Handwritten Japanese Characters Recognition Using a MRF Model with Parameter Optimization by CRF (BZ, MN), pp. 603–607.

ICDAR-2011-ZhuN11a #classification #online #recognition #scalability

A Coarse Classifier Construction Method from a Large Number of Basic Recognizers for On-line Recognition of Handwritten Japanese Characters (BZ, MN), pp. 1090–1094.

CHI-2011-WillisPS #interactive #named

Motionbeam: a metaphor for character interaction with handheld projectors (KDDW, IP, TS), pp. 1031–1040.

HCI-DDA-2011-NabetaHIKOT #similarity

The Similarity Index of Character Shape of Medicine Names Based on Character Shape Similarity (II) (KN, AH, HI, MK, MO, FT), pp. 628–636.

HCI-ITE-2011-OkamotoYW #using #visual notation

A Configuration Method of Visual Media by Using Characters of Audiences for Embodied Sport Cheering (KO, MY, TW), pp. 585–592.

HCI-UA-2011-YamaguchiMT #evaluation #learning #online

Evaluation of Online Handwritten Characters for Penmanship Learning Support System (TY, NM, MT), pp. 121–130.

SAC-2011-CaiFU #database #recognition #scalability

Massive character recognition with a large ground-truthed database (WC, YF, SU), pp. 240–244.

SAC-2011-LiuLTL #framework #game studies #interactive #learning

A cognition-based interactive game platform for learning Chinese characters (CLL, CYL, JLT, CLL), pp. 1181–1186.

DocEng-2010-NamaneSM #feature model #matrix #recognition #using

Degraded dot matrix character recognition using CSM-based feature extraction (AN, EHS, PM), pp. 207–210.

DRR-2010-HuangDC #modelling #recognition #word

A word language model based contextual language processing on Chinese character recognition (CH, XD, YC), pp. 1–10.

DRR-2010-OhL #evaluation #feature model #optimisation #recognition

Ant colony optimization with selective evaluation for feature selection in character recognition (ISO, JSL), pp. 1–10.

DRR-2010-SunPD #documentation #segmentation

Touching character segmentation method for Chinese historical documents (XS, LP, XD), pp. 1–10.

CHI-2010-ArifS #cost analysis #fault #predict

Predicting the cost of error correction in character-based text entry technologies (ASA, WS), pp. 5–14.

CHI-2010-TianLWWLKSDC #game studies #learning #mobile

Let’s play chinese characters: mobile learning approaches via culturally inspired group games (FT, FL, JW, HW, WL, MK, VS, GD, JC), pp. 1603–1612.

ICPR-2010-AlaeiNP #approach #segmentation

A Baseline Dependent Approach for Persian Handwritten Character Segmentation (AA, PN, UP), pp. 1977–1980.

ICPR-2010-CanerH #documentation #effectiveness #named

Shape-DNA: Effective Character Restoration and Enhancement for Arabic Text Documents (GC, IH), pp. 2053–2056.

ICPR-2010-KitaW #clustering #image #using

Binarization of Color Characters in Scene Images Using k-means Clustering and Support Vector Machines (KK, TW), pp. 3183–3186.

ICPR-2010-Liu #evaluation #image #quality #recognition

Degraded Character Recognition by Image Quality Evaluation (CL), pp. 1908–1911.

ICPR-2010-MarinaiMS #clustering #identification #recognition

Bag of Characters and SOM Clustering for Script Recognition and Writer Identification (SM, BM, GS), pp. 2182–2185.

ICPR-2010-PrumVO #online #recognition #using #word

On-Line Handwriting Word Recognition Using a Bi-character Model (SP, MV, JMO), pp. 2700–2703.

ICPR-2010-UchidaL #analysis #recognition

Analysis of Local Features for Handwritten Character Recognition (SU, ML), pp. 1945–1948.

ICPR-2010-WakaharaY #correlation #multi #recognition

Multi-template GAT/PAT Correlation for Character Recognition with a Limited Quantity of Data (TW, YY), pp. 2873–2876.

ICPR-2010-WangH10a #case study #classification #design #multi #prototype #using

A Study of Designing Compact Recognizers of Handwritten Chinese Characters Using Multiple-Prototype Based Classifiers (YW, QH), pp. 1872–1875.

DRR-2009-Ding #analysis #documentation #image #recognition #research #topic

Advanced topics in character recognition and document analysis: Research works in Intelligent Image & Document Research Lab, Tsinghua University (XD), pp. 1–10.

DRR-2009-FosseideA #recognition

Character recognition in the presence of occluding clutter (KTF, LA), pp. 1–10.

DRR-2009-GolubitskyW #online #similarity

Online computation of similarity between handwritten characters (OG, SMW), pp. 1–10.

DRR-2009-Likforman-SulemS #classification #network #recognition

Combination of dynamic Bayesian network classifiers for the recognition of degraded characters (LLS, MS), pp. 1–10.

ICDAR-2009-BledaBGZLMPV #online #recognition #using

Improving a DTW-Based Recognition Engine for On-line Handwritten Characters by Using MLPs (MJCB, SEB, JGM, FZM, DLP, AMV, FPV, JMVT), pp. 1260–1264.

ICDAR-2009-ChengZCN #keyword

Improvements in Keyword Search Japanese Characters within Handwritten Digital Ink (CC, BZ, XC, MN), pp. 863–866.

ICDAR-2009-DelayeAM #fuzzy #modelling #recognition

Explicit Fuzzy Modeling of Shapes and Positioning for Handwritten Chinese Character Recognition (AD, ÉA, SM), pp. 1121–1125.

ICDAR-2009-DengSS #network #recognition

Error-Correcting Output Coding for the Convolutional Neural Network for Optical Character Recognition (HD, GS, CYS), pp. 581–585.

ICDAR-2009-DiemS #recognition #using

Recognition of Degraded Handwritten Characters Using Local Features (MD, RS), pp. 221–225.

ICDAR-2009-DingDJ #online #recognition

An Investigation of Imaginary Stroke Techinique for Cursive Online Handwriting Chinese Character Recognition (KD, GD, LJ), pp. 531–535.

ICDAR-2009-HasnatCK #open source

An Open Source Tesseract Based Optical Character Recognizer for Bangla Script (MAH, MRC, MK), pp. 671–675.

ICDAR-2009-HeH #approach #online

A Character-Structure-Guided Approach to Estimating Possible Orientations of a Rotated Isolated Online Handwritten Chinese Character (TH, QH), pp. 536–540.

ICDAR-2009-HeH09a #classification #estimation #online #using

Affine Distortion Compensation for an Isolated Online Handwritten Chinese Character Using Combined Orientation Estimation and HMM-Based Minimax Classification (TH, QH), pp. 1226–1230.

ICDAR-2009-HuangJL #approach #novel #online #recognition

A Novel Approach for Rotation Free Online Handwritten Chinese Character Recognition (SH, LJ, JL), pp. 1136–1140.

ICDAR-2009-IwamuraTHK #realtime #recognition

Real-Time Camera-Based Recognition of Characters and Pictograms (MI, TT, AH, KK), pp. 76–80.

ICDAR-2009-KermorvantBMM #recognition

From Isolated Handwritten Characters to Fields Recognition: There’s Many a Slip Twixt Cup and Lip (CK, ALB, PM, FM), pp. 1031–1035.

ICDAR-2009-LeungL #generative #recognition

Recognition of Handwritten Chinese Characters by Combining Regularization, Fisher’s Discriminant and Distorted Sample Generation (KCL, CHL), pp. 1026–1030.

ICDAR-2009-MaHS #case study #design #markov #modelling #online #recognition

A Study of Feature Design for Online Handwritten Chinese Character Recognition Based on Continuous-Density Hidden Markov Models (LM, QH, YS), pp. 526–530.

ICDAR-2009-MaruyamaY #classification #image

Extraction of Characters on Signboards in Natural Scene Images by Stump Classifiers (MM, TY), pp. 1365–1369.

ICDAR-2009-MoghaddamRC #approach #classification #independence #multi #segmentation #set #using

Restoration and Segmentation of Highly Degraded Characters Using a Shape-Independent Level Set Approach and Multi-level Classifiers (RFM, DRH, MC), pp. 828–832.

ICDAR-2009-MozaffariS #contest #recognition

ICDAR 2009 Handwritten Farsi/Arabic Character Recognition Competition (SM, HS), pp. 1413–1417.

ICDAR-2009-OhkuraDTIM #recognition

Low-Resolution Character Recognition by Video-Based Super-Resolution (AO, DD, TT, II, HM), pp. 191–195.

ICDAR-2009-PalWK #case study #classification #comparative #recognition #using

Comparative Study of Devnagari Handwritten Character Recognition Using Different Feature and Classifiers (UP, TW, FK), pp. 1111–1115.

ICDAR-2009-PletschacherHA #clustering #documentation #framework #recognition

A New Framework for Recognition of Heavily Degraded Characters in Historical Typewritten Documents Based on Semi-Supervised Clustering (SP, JH, AA), pp. 506–510.

ICDAR-2009-RoyMSS #adaptation #classification #framework #online #recognition

A Framework for Adaptation of the Active-DTW Classifier for Online Handwritten Character Recognition (VR, SM, AS, RRS), pp. 401–405.

ICDAR-2009-RoyPLD #multi #programming #segmentation #using

Multi-Oriented and Multi-Sized Touching Character Segmentation Using Dynamic Programming (PPR, UP, JL, MD), pp. 11–15.

ICDAR-2009-SantosKOSKB #evaluation #recognition

Evaluation of Different Strategies to Optimize an HMM-Based Character Recognition System (MS, AHRK, LSO, RS, ALK, AdSBJ), pp. 666–670.

ICDAR-2009-SundaramR #online #recognition #using

An Improved Online Tamil Character Recognition Engine Using Post-Processing Methods (SS, AGR), pp. 1216–1220.

ICDAR-2009-TewariN #adaptation #learning

Learning and Adaptation for Improving Handwritten Character Recognizers (NCT, AMN), pp. 86–90.

ICDAR-2009-UchidaHIOK

Conspicuous Character Patterns (SU, RH, MI, SO, KK), pp. 16–20.

ICDAR-2009-WakabayashiPKM #feature model #recognition

F-ratio Based Weighted Feature Extraction for Similar Shape Character Recognition (TW, UP, FK, YM), pp. 196–200.

ICDAR-2009-WangH #classification #design #fault #modelling #parametricity #precise #using

Design Compact Recognizers of Handwritten Chinese Characters Using Precision Constrained Gaussian Models, Minimum Classification Error Training and Parameter Compression (YW, QH), pp. 36–40.

ICDAR-2009-WangJW #identification #performance

High Performance Chinese/English Mixed OCR with Character Level Language Identification (KW, JJ, QW), pp. 406–410.

ICDAR-2009-WangLYZ #database #named #online

CASIA-OLHWDB1: A Database of Online Handwritten Chinese Characters (DHW, CLL, JLY, XDZ), pp. 1206–1210.

ICDAR-2009-XiaJ

A Kai Style Calligraphic Beautification Method for Handwriting Chinese Character (WX, LJ), pp. 798–802.

ICDAR-2009-YinHTSN #classification #multi #recognition

Rejection Strategies with Multiple Classifiers for Handwritten Character Recognition (XCY, HWH, YFT, JS, SN), pp. 1126–1130.

ICDAR-2009-YinWL #documentation

A Tool for Ground-Truthing Text Lines and Characters in Off-Line Handwritten Chinese Documents (FY, QFW, CLL), pp. 951–955.

ICDAR-2009-ZhangGCL #database #named #recognition #scalability

HCL2000 — A Large-scale Handwritten Chinese Character Database for Handwritten Character Recognition (HZ, JG, GC, CGL), pp. 286–290.

ICDAR-2009-ZhangJDG #named #novel #recognition

Character-SIFT: A Novel Feature for Offline Handwritten Chinese Character Recognition (ZZ, LJ, KD, XG), pp. 763–767.

ICDAR-2009-ZhouLN #online #random #recognition #string #using

Online Handwritten Japanese Character String Recognition Using Conditional Random Fields (XDZ, CLL, MN), pp. 521–525.

ICDAR-2009-ZhouLT #recognition

Character Recognition under Severe Perspective Distortion (PZ, LL, CLT), pp. 676–680.

ICDAR-2009-ZhuSMHN #classification #feature model

Separate Chinese Character and English Character by Cascade Classifier and Feature Selection (YZ, JS, AM, YH, SN), pp. 1191–1195.

DHM-2009-ClavelM #approach #modelling #multimodal #named #permutation

PERMUTATION: A Corpus-Based Approach for Modeling Personality and Multimodal Expression of Affects in Virtual Characters (CC, JCM), pp. 211–220.

HCI-AUII-2009-JiK #named #using

CLURD: A New Character-Inputting System Using One 5-Way Key Module (HJ, TK), pp. 39–47.

HCI-AUII-2009-YamamotoOW #speech #video

Video Content Production Support System with Speech-Driven Embodied Entrainment Character by Speech and Hand Motion Inputs (MY, KO, TW), pp. 358–367.

HCI-NT-2009-MatsuoY #3d #named #visualisation

BunBunMovie: Scenario Visualizing System Based on 3-D Character (TM, TY), pp. 634–643.

HIMI-II-2009-HasegawaOWMM #estimation #mobile #using

Legible Character Size on Mobile Terminal Screens: Estimation Using Pinch-in/Out on the iPod Touch Panel (SH, MO, TW, SM, MM), pp. 395–402.

HIMI-II-2009-OmoriHWMM #mobile #readability

Influence of Vertical Length of Characters on Readability in Mobile Phones (MO, SH, TW, SM, MM), pp. 430–438.

OCSC-2009-TaylorS #interactive

Developing Believable Interactive Cultural Characters for Cross-Cultural Training (GT, ES), pp. 282–291.

DocEng-2008-SturgillS #algorithm #approach #recognition

An optical character recognition approach to qualifying thresholding algorithms (MS, SJS), pp. 263–266.

DRR-2008-ChanVT #identification #online #prototype #using

Online writer identification using character prototypes distributions (SKC, CVG, YHT), p. 68150.

DRR-2008-El-HajjML #modelling #recognition #using #word

Recognition of Arabic handwritten words using contextual character models (REH, CM, LLS), p. 681503.

DRR-2008-HottaF #recognition #synthesis

Line-touching character recognition based on dynamic reference feature synthesis (YH, KF), p. 68150.

DRR-2008-Lopresti #fault #impact analysis #recognition

Measuring the impact of character recognition errors on downstream text analysis (DPL), p. 68150.

CHI-2008-McQuigganRL #learning

The effects of empathetic virtual characters on presence in narrative-centered learning environments (SWM, JPR, JCL), pp. 1511–1520.

CIKM-2008-LinZ #novel #statistics

A novel statistical chinese language model and its application in pinyin-to-character conversion (BL, JZ), pp. 1433–1434.

ICPR-2008-DelayeMA #fuzzy #hybrid #online #recognition #statistics

Hybrid statistical-structural on-line Chinese character recognition with fuzzy inference system (AD, SM, ÉA), pp. 1–4.

ICPR-2008-GaoL #classification #polynomial #recognition

Combining quadratic classifier and pair discriminators by pairwise coupling for handwritten Chinese character recognition (TFG, CLL), pp. 1–4.

ICPR-2008-KatayamaUS #coordination #online #recognition #using

A new HMM for on-line character recognition using pen-direction and pen-coordinate features (YK, SU, HS), pp. 1–4.

ICPR-2008-LiT08a #recognition

Character recognition under severe perspective distortion (LL, CLT), pp. 1–4.

ICPR-2008-MaL #approach #online #recognition

A new radical-based approach to online handwritten Chinese character recognition (LLM, CLL), pp. 1–4.

ICPR-2008-RoyPLK #approach #documentation #multi #recognition #visual notation

Convex hull based approach for multi-oriented character recognition from graphical documents (PPR, UP, JL, FK), pp. 1–4.

ICPR-2008-WangH #case study #modelling #online #recognition

A study of semi-tied covariance modeling for online handwritten Chinese character recognition (YW, QH), pp. 1–5.

ICPR-2008-YuHL #modelling

Double-edge-model based character stroke extraction from complex backgrounds (JY, LH, CL), pp. 1–4.

ICPR-2008-ZhangYDG #recognition #using

Handwritten Chinese character recognition using Local Discriminant Projection with Prior Information (HZ, JY, WD, JG), pp. 1–4.

SAC-2008-VieiraVN #generative

A biologically inspired generation of virtual characters (RCCV, CAV, JBCN), pp. 1218–1224.

DRR-2007-WalvoordEC #information management #recognition

Adding contextual information to improve character recognition on the Archimedes Palimpsest (DJW, RLEJ, RLC).

ICDAR-2007-AmorA #approach #multi

An Approach for Multifont Arabic Characters Features Extraction Based on Contourlet Transform (NBA, NEBA), pp. 1048–1052.

ICDAR-2007-BabaUS #online #predict #recognition

Predictive DP Matching for On-Line Character Recognition (DB, SU, HS), pp. 674–678.

ICDAR-2007-BhattacharyaGP #online #recognition

Direction Code Based Features for Recognition of Online Handwritten Characters of Bangla (UB, BKG, SKP), pp. 58–62.

ICDAR-2007-BhattacharyaGP07a #recognition

A Two Stage Recognition Scheme for Handwritten Tamil Characters (UB, SKG, SKP), pp. 511–515.

ICDAR-2007-ChouGC #classification #multi #recognition #using

Recognition of Fragmented Characters Using Multiple Feature-Subset Classifiers (CHC, CYG, FC), pp. 198–202.

ICDAR-2007-FuDLL #classification #effectiveness #recognition

An Effective and Practical Classifier Fusion Strategy for Improving Handwritten Character Recognition (QF, XD, TL, CL), pp. 1038–1042.

ICDAR-2007-Fujisawa #documentation #future of #past present future #recognition

A View on the Past and Future of Character and Document Recognition (HF), pp. 3–7.

ICDAR-2007-GaoL #distance #recognition

LDA-Based Compound Distance for Handwritten Chinese Character Recognition (TFG, CLL), pp. 904–908.

ICDAR-2007-HanCZCZ #design #multi #online #recognition

Systematic Multi-Path HMM Topology Design for Online Handwriting Recognition of East Asian Characters (SH, MC, YZ, XC, DZ), pp. 604–608.

ICDAR-2007-HirayamaNK #classification #difference #using

A Classifier of Similar Characters using Compound Mahalanobis Function based on Difference Subspace (JH, HN, NK), pp. 432–436.

ICDAR-2007-JinZ #synthesis #using

Synthesis of Chinese Character Using Affine Transformation (LJ, XZ), pp. 218–222.

ICDAR-2007-Likforman-SulemS #network #recognition #using

Recognition of Broken Characters from Historical Printed Books Using Dynamic Bayesian Networks (LLS, MS), pp. 173–177.

ICDAR-2007-LiuJ #optimisation

Character Stroke Extraction Based on B-spline Curve Matching by Constrained Alternating Optimization (XL, YJ), pp. 13–17.

ICDAR-2007-LongJ #classification

Building Compact MQDF Classifier for Off-line Handwritten Chinese Characters by Subspace Distribution Sharing (TL, LJ), pp. 909–913.

ICDAR-2007-LuLT #categorisation #identification

Identification of Latin-Based Languages through Character Stroke Categorization (SJL, LL, CLT), pp. 352–356.

ICDAR-2007-MS #encoding #online #recognition

A Feature based on Encoding the Relative Position of a Point in the Character for Online Handwritten Character Recognition (DM, MKS), pp. 1014–1017.

ICDAR-2007-PalSWK #recognition

Off-Line Handwritten Character Recognition of Devnagari Script (UP, NS, TW, FK), pp. 496–500.

ICDAR-2007-SubramanianNDC #detection

Character-Stroke Detection for Text-Localization and Extraction (KS, PN, MD, DAC), pp. 33–37.

ICDAR-2007-SundaramR #classification #novel #online #recognition

A Novel Hierarchical Classification Scheme for Online Tamil Character Recognition (SS, AR), pp. 1218–1222.

ICDAR-2007-SunHHFN #classification #recognition

Degraded Character Recognition by Complementary Classifiers Combination (JS, KH, YH, KF, SN), pp. 579–583.

ICDAR-2007-UchidaSIOK #embedded

Extraction of Embedded Class Information from Universal Character Pattern (SU, MS, MI, SO, KK), pp. 437–441.

ICDAR-2007-VamvakasGPS #feature model #performance #recognition #reduction

An Efficient Feature Extraction and Dimensionality Reduction Scheme for Isolated Greek Handwritten Character Recognition (GV, BG, SP, NS), pp. 1073–1077.

ICDAR-2007-XiCLWSJ07a #clustering #segmentation

Character Line Segmentation Based on Feature Clustering (YX, YC, QL, LW, FS, DJ), pp. 402–406.

ICDAR-2007-YangJ #kernel #recognition #using

Handwritten Chinese Character Recognition Using Modified LDA and Kernel FDA (DY, LJ), pp. 914–918.

ICDAR-2007-YangJHH #kernel #online #polynomial #recognition

Kernel Modified Quadratic Discriminant Function for Online Handwritten Chinese Characters Recognition (DY, LJ, QH, TH), pp. 38–42.

ICDAR-2007-YangJZH #recognition #using

Finger-Written Chinese Characters Recognition Using Hierarchical LDA (DY, LJ, LXZ, JCH), pp. 322–326.

ICDAR-2007-ZhouYLNM #geometry #online #recognition #string

Online Handwritten Japanese Character String Recognition Incorporating Geometric Context (XDZ, JLY, CLL, TN, KM), pp. 48–52.

HCI-IPT-2007-ZhuSW #online #recognition

Online Chinese Characters Recognition Based on Force Information by HMM (MZ, FS, ZW), pp. 522–528.

HCI-MIE-2007-WangYCI #interactive #interface #multimodal #realtime #using

Character Agents in E-Learning Interface Using Multimodal Real-Time Interaction (HW, JY, MHC, MI), pp. 225–231.

HIMI-IIE-2007-FujikakeHOTM #navigation #readability

Readability of Character Size for Car Navigation Systems (KF, SH, MO, HT, MM), pp. 503–509.

HIMI-IIE-2007-HasegawaOFM #mobile #readability

Readability of Characters on Liquid Crystal Displays in Mobile Phones (SH, MO, KF, MM), pp. 510–517.

HIMI-IIE-2007-OmoriHFM #evaluation #mobile #visual notation

Visibility Evaluation of Characters on Liquid Crystal Displays in Mobile Phones, and Visual Function (MO, SH, KF, MM), pp. 600–607.

MoDELS-2007-KienzleDV #behaviour #design #game studies #modelling

Model-Based Design of Computer-Controlled Game Character Behavior (JK, AD, HV), pp. 650–665.

MoDELS-2007-KienzleDV #behaviour #design #game studies #modelling

Model-Based Design of Computer-Controlled Game Character Behavior (JK, AD, HV), pp. 650–665.

SAC-2007-FreitasOAB #recognition

Zoning and metaclasses for character recognition (COdAF, LSO, SBKA, FB), pp. 632–636.

CASE-2006-KwokLWY #framework #replication #using

Evolutionary Replication of Calligraphic Characters By A Robot Drawing Platform Using Experimentally Acquired Brush Footprint (KWK, KWL, SMW, YY), pp. 466–471.

DRR-2006-AsSadhanBSN #classification #comparative #evaluation #recognition #robust

Comparative evaluation of different classifiers for robust distorted-character recognition (BA, ZAB, AES, MN).

DRR-2006-WangDLL #authentication #documentation

A new document authentication method by embedding deformation characters (XW, XD, HL, CL).

DRR-2006-WangZXWG #feature model #image #recognition #robust

Robust feature extraction for character recognition based on binary images (LW, LZ, YX, ZW, HG).

CIKM-2006-ZhuangZLC #database #interactive #scalability #towards

Towards interactive indexing for large Chinese calligraphic character databases (YZ, YZ, QL, LC), pp. 884–885.

ICPR-v1-2006-JinYZH #novel #recognition

A Novel Vision based Finger-writing Character Recognition System (LJ, DY, LXZ, JCH), pp. 1104–1107.

ICPR-v1-2006-LiuD #analysis #linear #performance #recognition

Improve Handwritten Character Recognition Performance by Heteroscedastic Linear Discriminant Analysis (HL, XD), pp. 880–883.

ICPR-v1-2006-LiuWD #evaluation #image #quality #recognition

Low Resolution Character Recognition by Image Quality Evaluation (CL, CW, RD), pp. 864–867.

ICPR-v1-2006-WongLI #classification

Brush Writing Style Classification from Individual Chinese Characters (STSW, HL, HHSI), pp. 884–887.

ICPR-v1-2006-ZengL #markov #random #segmentation #using

Stroke Segmentation of Chinese Characters Using Markov Random Fields (JZ, ZQL), pp. 868–871.

ICPR-v1-2006-ZengL06a #fuzzy #markov #random #recognition

Type-2 Fuzzy Markov Random Fields to Handwritten Character Recognition (JZ, ZQL), pp. 1162–65.

ICPR-v2-2006-BaiH #case study #normalisation #online #recognition

A Study of Nonlinear Shape Normalization for Online Handwritten Chinese Character Recognition: Dot Density vs. Line Density Equalization (ZLB, QH), pp. 921–924.

ICPR-v2-2006-CaiUS #algorithm #online #performance #recognition

An Efficient Radical-Based Algorithm for Stroke-Order-Free Online Kanji Character Recognition (WC, SU, HS), pp. 986–989.

ICPR-v2-2006-CamastraSV #algorithm #benchmark #challenge #machine learning #metric #pattern matching #pattern recognition #recognition

Offline Cursive Character Challenge: a New Benchmark for Machine Learning and Pattern Recognition Algorithms. (FC, MS, AV), pp. 913–916.

ICPR-v2-2006-ChiangK #classification #using

Classification of Line and Character Pixels on Raster Maps Using Discrete Cosine Transformation Coefficients and Support Vector Machine (YYC, CAK), pp. 1034–1037.

ICPR-v2-2006-FuDLJR #algorithm #novel #recognition #segmentation #string

A Novel Segmentation and Recognition Algorithm for Chinese Handwritten Address Character Strings (QF, XQD, TL, YJ, ZR), pp. 974–977.

ICPR-v2-2006-GarainCM #approach

Improvement of OCR Accuracy by Similar Character Pair Discrimination: an Approach based on Artificial Immune System (UG, MPC, DDM), pp. 1046–1049.

ICPR-v2-2006-junling #distance #metric #multi #recognition #standard

Multi-order Standard Deviation Based Distance Metrics and its Application in Handwritten Chinese Character Recognition (Rj), pp. 1114–1117.

ICPR-v2-2006-Liu #classification #feature model #polynomial #recognition #using

High Accuracy Handwritten Chinese Character Recognition Using Quadratic Classifiers with Discriminative Feature Extraction (CLL), pp. 942–945.

ICPR-v2-2006-Mancas-ThillouG #using

Character Segmentation-by-Recognition Using Log-Gabor Filters (CMT, BG), pp. 901–904.

ICPR-v2-2006-OmachiIUK #invariant #recognition

Affine Invariant Information Embedment for Accurate Camera-Based Character Recognition (SO, MI, SU, KK), pp. 1098–1101.

ICPR-v2-2006-PalKRP #multi #recognition

Recognition of English Multi-oriented Characters (UP, FK, KR, TP), pp. 873–876.

ICPR-v2-2006-SadriSB #clustering #recognition

A New Clustering Method for Improving Plasticity and Stability in Handwritten Character Recognition Systems (JS, CYS, TDB), pp. 1130–1133.

ICPR-v2-2006-TakiguchiOM #case study #comprehension #fault #recognition

A Study on Character Recognition Error Correction at Higher Level Recognition Step for Mathematical Formulae Understanding (YT, MO, YM), pp. 966–969.

ICPR-v2-2006-UchidaIOK #recognition

OCR Fonts Revisited for Camera-Based Character Recognition (SU, MI, SO, KK), pp. 1134–1137.

ICPR-v2-2006-YangN #recognition #scalability #set

Layered Search Spaces for Accelerating Large Set Character Recognition (YY, MN), pp. 1006–1009.

ICPR-v2-2006-YokobayashiW #correlation #recognition #using

Binarization and Recognition of Degraded Characters Using a Maximum Separability Axis in Color Space and GAT Correlation (MY, TW), pp. 885–888.

ICPR-v2-2006-Zheng #recognition #using

Machine Printed Arabic Character Recognition Using S-GCM (LZ), pp. 893–896.

ICPR-v3-2006-AssabieB #recognition #using

Ethiopic Character Recognition Using Direction Field Tensor (YA, JB), pp. 284–287.

ICPR-v3-2006-KohmuraW #algorithm #search-based #using

Determining Optimal Filters for Binarization of Degraded Characters in Color Using Genetic Algorithms (HK, TW), pp. 661–664.

SAC-2006-CavalinBBSO #recognition #string

An implicit segmentation-based method for recognition of handwritten strings of characters (PRC, AdSBJ, FB, RS, LESdO), pp. 836–840.

DRR-2005-HopkinsA #framework #open source #recognition

A Fourier-descriptor-based character recognition engine implemented under the Gamera open-source document-processing framework (JH, TLA), pp. 111–118.

DRR-2005-LiuD #automation #clustering #image

Automatic style clustering of printed characters in form images (CL, XD), pp. 175–182.

DRR-2005-NamaneAGSMB #network #recognition

Sequential neural network combination for degraded machine-printed character recognition (AN, MA, AG, EHS, PM, MB), pp. 101–110.

DRR-2005-WalvoordEKH #recognition

Enhancement and character recognition of the erased colophon of a 15th-century Hebrewa prayer book (DJW, RLEJ, KTK, MH), pp. 157–166.

DRR-2005-WangDJH #recognition #statistics

New statistical method for machine-printed Arabic character recognition (HW, XD, JJ, MH), pp. 127–135.

ICDAR-2005-AlonAS #online #prototype #recognition #using

Online and Offline Character Recognition Using Alignment to Prototypes (JA, VA, SS), pp. 839–845.

ICDAR-2005-BaiH #case study #online #recognition

A Study On the Use of 8-Directional Features For Online Handwritten Chinese Character Recognition (ZLB, QH), pp. 262–266.

ICDAR-2005-BhattacharyaC05a #database #recognition #research

Databases for Research on Recognition of Handwritten Characters of Indian Scripts (UB, BBC), pp. 789–793.

ICDAR-2005-ChaYT #metric #on the #recognition #similarity

On Binary Similarity Measures for Handwritten Character Recognition (SHC, SY, CCT), pp. 4–8.

ICDAR-2005-ChellapillaSN #documentation #performance #recognition

Fast Optical Character Recognition through Glyph Hashing for Document Conversion (KC, PYS, RN), pp. 829–834.

ICDAR-2005-FuDLJ #algorithm #markov #modelling #recognition #segmentation #string

A Hidden Markov Model Based Segmentation and Recognition Algorithm for Chinese Handwritten Address Character Strings (QF, XQD, CSL, YJ), pp. 590–594.

ICDAR-2005-GaoLV #algorithm #online #programming #segmentation

A Two-stage Online Handwritten Chinese Character Segmentation Algorithm Based on Dynamic Programming (XG, PML, CVG), pp. 735–739.

ICDAR-2005-GeGZC #online #recognition

Online Chinese Character Recognition System with Handwritten Pinyin Input (YG, FJG, LXZ, QSC), pp. 1265–1269.

ICDAR-2005-HanL #approach #recognition #segmentation

A two-stage handwritten character segmentation approach in mail address recognition (ZH, CPL), pp. 111–115.

ICDAR-2005-HottaTSN #recognition #word

Accuracy Improvement for Handwritten Japanese Word Recognition by Combination of Character and Word Recognizer (YH, HT, MS, SN), pp. 685–689.

ICDAR-2005-IwamuraNOA #recognition

Isolated Character Recognition by Searching Feature Points (MI, KN, SO, HA), pp. 1035–1039.

ICDAR-2005-JoshiSRDM #online #recognition

Machine Recognition of Online Handwritten Devanagari Characters (NJ, GS, AGR, VD, SM), pp. 1156–1160.

ICDAR-2005-KumarJ #architecture #configuration management #hybrid #recognition

Configurable Hybrid Architectures for Character Recognition Applications (MNSSKPK, CVJ), pp. 1199–1205.

ICDAR-2005-LeeH #performance #recognition

Performance Improvement Techniques for Chinese Character Recognition (HJL, JTH), pp. 710–715.

ICDAR-2005-LiuCL #identification #image #machine learning #using

Language Identification of Character Images Using Machine Learning Techniques (YHL, FC, CCL), pp. 630–634.

ICDAR-2005-LiuD #classification #multi #polynomial #recognition #using

Handwritten Character Recognition Using Gradient Feature and Quadratic Classifier with Multiple Discrimination Schemes (HL, XD), pp. 19–25.

ICDAR-2005-LiuKF #comparison #feature model #recognition

Gabor Feature Extraction for Character Recognition: Comparison with Gradient Feature (CLL, MK, HF), pp. 121–125.

ICDAR-2005-LiuMK #classification #feature model #recognition #scalability #set #using

Building Compact Classifier for Large Character Set Recognition Using Discriminative Feature Extraction (CLL, RM, MK), pp. 846–850.

ICDAR-2005-LongJ #hybrid #recognition

Hybrid Recognition for One Stroke Style Cursive Handwriting Characters (TL, LJ), pp. 232–236.

ICDAR-2005-Mancas-ThillouMG #component #segmentation

Camera-based Degraded Character Segmentation into Individual Components (CMT, MM, BG), pp. 755–759.

ICDAR-2005-MethasateMST #recognition

The feature Combination Technique for Off-line Thai Character Recognition System (IM, SM, SSt, TT), pp. 1006–1009.

ICDAR-2005-MitomaUS #online #polynomial #recognition

Online Character Recognition Based on Elastic Matching and Quadratic Discrimination (HM, SU, HS), pp. 36–40.

ICDAR-2005-MiyaoMNH #online #recognition

Off-Line Handwritten Character Recognition by SVM on the Virtual Examples Synthesized from On-Line Characters (HM, MM, YN, TH), pp. 494–498.

ICDAR-2005-MozaffariFFZ #composition #statistics

Structural Decomposition and Statistical Description of Farsi/Arabic Handwritten Numeric Characters (SM, KF, MZ), pp. 237–241.

ICDAR-2005-MozaffariFZ #encoding #recognition #representation #using

Character Representation and Recognition Using Quadtree-based Fractal Encoding Scheme (SM, KF, MZ), pp. 819–823.

ICDAR-2005-NatarajanSPM #modelling

Character Duration Modeling for Speed Improvements in the BBN Byblos OCR System (PN, RS, RP, EM), pp. 1136–1140.

ICDAR-2005-NielsV

Dynamic TimeWarping Applied to Tamil Character Recognitio (RN, LV), pp. 730–734.

ICDAR-2005-NomuraYOK #effectiveness #image #recognition

A Proposal of the Effective Recognition Method for Low-Resolution Characters from Motion Images (MN, KY, HO, KK), pp. 720–724.

ICDAR-2005-OjimaKW #algorithm #search-based #using

Determining Optimal Filters for Binarization of Degraded Grayscale Characters Using Genetic Algorithms (YO, SK, TW), pp. 555–559.

ICDAR-2005-QiZT #recognition

Motion Deblurring for Optical Character Recognition (XYQ, LZ, CLT), pp. 389–393.

ICDAR-2005-SuzukiUN #database #image

A Ground-Truthed Mathematical Character and Symbol Image Database (MS, SU, AN), pp. 675–679.

ICDAR-2005-Wakahara #correlation #multi #recognition

Multi-template GAT Correlation for Character Recognition with a Limited Quantity of Data (TW), pp. 824–828.

ICDAR-2005-WeiMJ #algorithm #search-based #segmentation

Segmentation of Connected Chinese Characters Based on Genetic Algorithm (XW, SM, YJ), pp. 645–649.

ICDAR-2005-YingsaereeK #analysis #detection #documentation #layout #rule-based

Rule-based Middle-level Character Detection for Simplifying Thai Document Layout Analysis (CY, AK), pp. 888–892.

ICDAR-2005-YokobayashiW #correlation #image #recognition #segmentation #using

Segmentation and Recognition of Characters in Scene Images Using Selective Binarization in Color Space and GAT Correlation (MY, TW), pp. 167–171.

ICDAR-2005-ZaidiRM #design #hardware #online #recognition #using

Hardware Design of On-Line Jawi Character Recognition Chip using Discrete Wavelet Transform (RZ, SR, MY), pp. 91–95.

ICDAR-2005-ZengL #markov #random #recognition

Markov Random Fields for Handwritten Chinese Character Recognition (JZ, ZQL), pp. 101–105.

CIKM-2005-MiaoKM #clustering #comparative #documentation #evaluation #n-gram #using

Document clustering using character N-grams: a comparative evaluation with term-based and word-based clustering (YM, VK, EEM), pp. 357–358.

PADL-2005-BrooksEMR #programming #set

Character-Based Cladistics and Answer Set Programming (DRB, EE, JWM, DR), pp. 37–51.

SAC-2005-PervouchineLM #analysis #documentation #forensics

Handwritten character skeletonisation for forensic document analysis (VP, GL, KM), pp. 754–758.

DRR-2004-OzawaTKNY #identification #image

Slide identification for lecture movies by matching characters and images (NO, HT, YK, SN, HY), pp. 74–81.

DRR-2004-TomaiKS #power of

Group discriminatory power of handwritten characters (CIT, DMK, SNS), pp. 116–123.

ECIR-2004-XueS #categorisation #reduction

Eliminating High-Degree Biased Character Bigrams for Dimensionality Reduction in Chinese Text Categorization (XD, MS), pp. 197–208.

ICPR-v1-2004-ChenD #recognition

A Universal Method for Single Character Type Recognition (LC, XD), pp. 413–416.

ICPR-v1-2004-GotoA #documentation #image

Screen Pattern Removal for Character Pattern Extraction from High-resolution Color Document Images (HG, HA), pp. 490–493.

ICPR-v1-2004-IwatsukaYK #development #people #recognition

Development of a Guide Dog System for the Blind People with Character Recognition Ability (KI, KY, KK), pp. 453–456.

ICPR-v1-2004-LiuM #classification #recognition #string

Handwritten Numeral String Recognition: Character-Level vs. String-Level Classifier Training (CLL, KM), pp. 405–408.

ICPR-v1-2004-Wakahara #adaptation #correlation #modelling #normalisation #using

Adaptive Normalization of Handwritten Characters Using GAT Correlation and Mixture Models (TW), pp. 393–396.

ICPR-v2-2004-CaoK #classification #online

Online Structure Based Chinese Character Pre-Classification (HC, ACK), pp. 395–398.

ICPR-v2-2004-ChangLC #hybrid #recognition

Applying A Hybrid Method To Handwritten Character Recognition (FC, CCL, CJC), pp. 529–532.

ICPR-v2-2004-Clocksin #order #recognition #using

Handwritten Syriac Character Recognition using Order Structure Invariance (WFC), pp. 562–565.

ICPR-v2-2004-DeepuMR #analysis #component #online #recognition

Principal Component Analysis for Online Handwritten Character Recognition (VD, SM, AGR), pp. 327–330.

ICPR-v2-2004-HaseSTS #multi #robust

A Robust Method of Recognizing Multi-font Rotated Characters (HH, TS, ST, CYS), pp. 363–366.

ICPR-v2-2004-LiNCS #segmentation

A Segmentation Method for Touching Italic Characters (YL, SN, MC, CYS), pp. 594–597.

ICPR-v2-2004-NoorRM #fuzzy #geometry #logic

Global Geometry Extraction for Fuzzy Logic Based Handwritten Character (NMN, MR, PMC), pp. 513–516.

ICPR-v2-2004-SuW #normalisation #using

Decomposing Chinese Characters into Stroke Segments Using SOGD Filters and Orientation Normalization (YMS, JFW), pp. 351–354.

ICPR-v2-2004-YamaguchiM #classification #image

Character Extraction from Natural Scene Images by Hierarchical Classifiers (TY, MM), pp. 687–690.

ICPR-v4-2004-EveringhamZ #automation #identification #visual notation

Automated Visual Identification of Characters in Situation Comedies (ME, AZ), pp. 983–986.

ICPR-v4-2004-KeysersGN #modelling #recognition

Local Context in Non-Linear Deformation Models for Handwritten Character Recognition (DK, CG, HN), pp. 511–514.

ICPR-v4-2004-OliveiraNM #parametricity #performance #recognition

Improving RBF-DDA Performance on Optical Character Recognition through Parameter Selection (ALIO, FBdLN, SRdLM), pp. 625–628.

DRR-2003-ChenD #recognition

Optical font recognition of single Chinese character (LC, XD), pp. 219–226.

DRR-2003-Fan #bound #parametricity

Text extraction via an edge-bounded averaging and a parametric character model (JF), pp. 8–19.

DRR-2003-LiuDF

AdaBoost-based handwritten/printed discrimination on a single character (HL, XD, CF), pp. 39–46.

ICDAR-2003-AllierE #prototype #using

Font Type Extraction and Character Prototyping Using Gabor Filters (BA, HE), pp. 799–803.

ICDAR-2003-BlumensteinVB #feature model #novel #recognition

A Novel Feature Extraction Technique for the Recognition of Segmented Handwritten Characters (MB, BV, HB), pp. 137–141.

ICDAR-2003-Breuel03a #adaptation #recognition #similarity #statistics

Character Recognition by Adaptive Statistical Similarity (TMB), pp. 158–162.

ICDAR-2003-ChaTS #algorithm #optimisation #recognition #search-based #similarity #using

Optimizing Binary Feature Vector Similarity Measure using Genetic Algorithm and Handwritten Character Recognition (SHC, CCT, SNS), pp. 662–665.

ICDAR-2003-ChenD #algorithm #documentation #multi #recognition

Rejection Algorithm for Mis-segmented Characters In Multilingual Document Recognition (ZC, XD), pp. 746–749.

ICDAR-2003-Cheriet #image

Shock Filters for Character Image Enhancement and Peeling (MC), pp. 1247–1251.

ICDAR-2003-ChoiCK #generative #network #online

Generation of Handwritten Characters with Bayesian network based On-line Handwriting Recognizers (HIC, SJC, JHK), p. 995–?.

ICDAR-2003-ChoK #modelling #network #online #recognition

Bayesian Network Modeling of Hangul Characters for On-line Handwriting Recognition (SJC, JHK), pp. 207–211.

ICDAR-2003-ChoPR #probability #recognition

Probability Table Compression for Handwritten Character Recognition (SJC, MPP, EHR), p. 173–?.

ICDAR-2003-DawoudK #approach #image

New Approach for the Skeletonization of Handwritten Characters in Gray-Level Images (AD, MK), pp. 1233–1237.

ICDAR-2003-FujisawaL #pattern matching #recognition #revisited

Directional Pattern Matching for Character Recognition Revisited (HF, CLL), pp. 794–798.

ICDAR-2003-GocciaBSD #classification #feature model #optimisation #recognition

Recognition of Container Code Characters through Gray-Level Feature Extraction and Gradient-Based Classifier Optimization (MG, MB, CS, SGD), p. 973–?.

ICDAR-2003-HaseSYS #recognition

Recognition of Rotated Characters by Eigen-space (HH, TS, MY, CYS), pp. 731–735.

ICDAR-2003-HuoF #modelling #performance #using

Improving Chinese/English OCR Performance by Using MCE-based Character-Pair Modeling and Negative Training (QH, ZDF), pp. 364–368.

ICDAR-2003-JeongNK #recognition

Non-similar candidate removal method for off-line handwritten Korean character recognition (SHJ, YSN, HKK), pp. 323–328.

ICDAR-2003-KangK #probability #recognition #representation

Handwritten Hangul Character Recognition with Hierarchical Stochastic Character Representation (KWK, JHK), p. 212–?.

ICDAR-2003-KorkmazKAA

A Character Recognizer for Turkish Language (SUK, GK, YA, VA), pp. 1238–1241.

ICDAR-2003-LiuSF #normalisation #recognition

Handwritten Chinese Character Recognition: Alternatives to Nonlinear Normalization (CLL, HS, HF), pp. 524–528.

ICDAR-2003-MarukatatSAG #flexibility #online #recognition

A Flexible Recognition Engine for Complex On-line Handwritten Character Recognition (SM, RS, TA, PG), pp. 1048–1052.

ICDAR-2003-MezghaniCM #online #recognition

Combination of Pruned Kohonen Maps for On-line Arabic Characters Recognition (NM, MC, AM), p. 900–?.

ICDAR-2003-NakagawaO #online #recognition

On-line Handwritten Japanese Text Recognition free from Constrains on Line Direction and Character Orientation (MN, MO), pp. 519–523.

ICDAR-2003-NishimuraT #online #recognition #using

Off-line Character Recognition using On-line Character Writing Information (HN, TT), pp. 168–172.

ICDAR-2003-NomuraMUS #detection #segmentation

Detection and Segmentation of Touching Characters in Mathematical Expression (AN, KM, SU, MS), pp. 126–130.

ICDAR-2003-NopsuwanchaiP #recognition

Discriminative Training for HMM-Based Offline Handwritten Character Recognition (RN, DP), pp. 114–118.

ICDAR-2003-PitrelliP #recognition #verification

Confidence-Scoring Post-Processing for Off-Line Handwritten-Character Recognition Verification (JFP, MPP), p. 278–?.

ICDAR-2003-PrevostMMOM #classification #modelling #recognition

Combining model-based and discriminative classifiers : application to handwritten character recognition (LP, CMS, AM, LO, MM), p. 31–?.

ICDAR-2003-RagotA #classification #fuzzy #hybrid #modelling #online #recognition

A Generic Hybrid Classifier Based on Hierarchical Fuzzy Modeling: Experiments on On-Line Handwritten Character Recognition (NR, ÉA), pp. 963–967.

ICDAR-2003-Ratzlaff #bibliography #comparison #database #recognition

Methods, Report and Survey for the Comparison of Diverse Isolated Character Recognition Results on the UNIPEN Database (EHR), pp. 623–628.

ICDAR-2003-SimardSBCC #recognition #segmentation #using

Using Character Recognition and Segmentation to Tell Computer from Humans (PYS, RS, JB, JC, IC), pp. 418–423.

ICDAR-2003-ToujAA #recognition

Generalized Hough Transform for Arabic Optical Character Recognition (ST, NEBA, HA), pp. 1242–1246.

ICDAR-2003-UchidaS #recognition #using

Handwritten character recognition using elastic matching based on a class-dependent deformation model (SU, HS), pp. 163–167.

ICDAR-2003-VelekN #classification #online #performance #recognition #scalability #set

Enhancing Efficiency and Speed of an Off-line Classifier Employed for On-line Handwriting Recognition of a Large Character Set (OV, MN), pp. 784–788.

ICDAR-2003-WuM #feature model #recognition

Feature Extraction by Hierarchical Overlapped Elastic Meshing for Handwritten Chinese Character Recognition (TW, SM), pp. 529–533.

ICDAR-2003-YamS #image #parametricity

Estimating Degradation Model Parameters from Character Images (HSY, EHBS), pp. 710–714.

ICDAR-2003-YangVN #recognition #scalability #set #using

Accelerating Large Character Set Recognition using Pivots (YY, OV, MN), pp. 262–267.

ICDAR-2003-ZhangSL

Individuality of Handwritten Characters (BZ, SNS, SL), pp. 1086–1090.

ICEIS-v2-2003-HattoriKY03a #fourier #using

Extraction of Feeling Information From Characters Using a Modified Fourier Transform (TH, HK, TY), pp. 461–464.

ICEIS-v2-2003-SalemSH #approach #fuzzy #hybrid #recognition #self

A Hybrid Approach for Handwritten Arabic Character Recognition: Combining Self-Organizing Maps (SOMS) and Fuzzy Rules (ABMS, MMS, MKH), pp. 529–532.

DocEng-2002-AllierE #approach #image #using

Degraded character image restoration using active contours: a first approach (BA, HE), pp. 142–148.

CSCW-2002-IsaacsWWSK

The character, functions, and styles of instant messaging in the workplace (EI, AW, SW, DJS, CAK), pp. 11–20.

ICPR-v1-2002-LioliosKFK #approach #recognition

A New Shape Transformation Approach to Handwritten Character Recognition (NL, EK, NF, GKK), pp. 584–587.

ICPR-v1-2002-UchidaRS #recognition #using

Using Eigen-Deformations in Handwritten Character Recognition (SU, MAR, HS), pp. 572–575.

ICPR-v1-2002-VelekLJN #approach #generative #image #online #performance #recognition

An Improved Approach to Generating Realistic Kanji Character Images from On-Line Characters and its Benefit to Off-Line Recognition Performance (OV, CLL, SJ, MN), p. 588–?.

ICPR-v1-2002-ZhangD #classification #fault #recognition

Minimum Classification Error Training for Handwritten Character Recognition (RZ, XD), pp. 580–583.

ICPR-v3-2002-ChoC #algorithm

A Script Matching Algorithm for Oriental Characters on PDAs (MGC, HGC), pp. 957–960.

ICPR-v3-2002-GeH #case study #comparative #modelling #recognition #scalability

A Comparative Study of Several Modeling Approaches for Large Vocabulary Offline Recognition of Handwritten Chinese Characters (YG, QH), pp. 85–88.

ICPR-v3-2002-GotoA #documentation

Character Pattern Extraction from Colorful Documents with Complex Backgrounds (HG, HA), pp. 180–183.

ICPR-v3-2002-HallouliLS #case study #comparative #data fusion #markov #recognition

A Comparative Study between Decision Fusion and Data Fusion in Markovian Printed Character Recognition (KH, LLS, MS), pp. 147–150.

ICPR-v3-2002-IgualGJ #preprocessor #recognition

Preprocessing and Recognition of Characters in Container Codes (ISI, GAG, AJPJ), pp. 143–146.

ICPR-v3-2002-KavallieratouFK #recognition

Handwritten Character Recognition Based on Structural Characteristics (EK, NF, GKK), pp. 139–142.

ICPR-v3-2002-LiaoCLP #recognition

Chinese Character Recognition via Gegenbauer Moments (SXL, AC, QL, MP), pp. 485–488.

ICPR-v3-2002-LinT

Off-Line Handwritten Chinese Character Stroke Extraction (FL, XT), p. 249–?.

ICPR-v3-2002-MaragoudakisKF #independence #performance #segmentation

Incorporating Conditional Independence Assumption with Support Vector Machines to Enhance Handwritten Character Segmentation Performance (MM, EK, NF), pp. 911–914.

ICPR-v3-2002-MoriSH #feature model #recognition

Category-Dependent Feature Extraction for Recognition of Degraded Handwritten Characters (MM, MS, NH), pp. 155–159.

ICPR-v3-2002-ParkO #composition

Shape Decomposition and Skeleton Extraction of Character Patterns (JSP, ISO), pp. 411–414.

ICPR-v3-2002-RodriguezSAP #classification #incremental

An Incremental and Hierarchical K-NN Classifier for Handwritten Characters (CR, FBS, ISA, AP), pp. 98–101.

ICPR-v3-2002-SinKC #image #using

Locating Characters in Scene Images Using Frequency Features (BKS, SKK, BJC), pp. 489–492.

ICPR-v3-2002-SuW #identification #learning #process

A Learning Process to the Identification of Feature Points on Chinese Characters (YMS, JFW), pp. 93–97.

ICPR-v3-2002-VuoriL #automation #clustering #comparison

A Comparison of Techniques for Automatic Clustering of Handwritten Characters (VV, JL), pp. 168–171.

ICPR-v3-2002-WadaKS #approach #generative #using

An Evolutionary Approach for the Generation of Diversiform Characters Using a Handwriting Model (YW, HK, KS), pp. 131–134.

ICPR-v4-2002-LiuSF #classification #learning #polynomial

Learning Quadratic Discriminant Function for Handwritten Character Classification (CLL, HS, HF), pp. 44–47.

ICPR-v4-2002-WangDL #feature model #recognition

Optimized Gabor Filter Based Feature Extraction for Character Recognition (XW, XD, CL), pp. 223–226.

ICDAR-2001-Amin #induction #logic programming #recognition

Recognition of Hand-Printed Characters Based on Structural Description and Inductive Logic Programming (AA), pp. 333–337.

ICDAR-2001-BrakensiekR #comparison #n-gram #recognition

A Comparison of Character N-Grams and Dictionaries Used for Script Recognition (AB, GR), pp. 241–245.

ICDAR-2001-DaWM #analysis #classification #fuzzy

Character Preclassification Based on Fuzzy Typographical Analysis (LD, PW, BM), pp. 74–78.

ICDAR-2001-GaoJYH #approach #feature model #recognition

A New Stroke-Based Directional Feature Extraction Approach for Handwritten Chinese Character Recognition (XG, LJ, JY, JH), pp. 635–639.

ICDAR-2001-GarainC #analysis #fuzzy #multi #segmentation #using

Segmentation of Touching Characters in Printed Devnagari and Bangla Scripts Using Fuzzy Multifactorial Analysis (UG, BBC), pp. 805–809.

ICDAR-2001-HaseYSS #layout #recognition

Alignment of Free Layout Color Texts for Character Recognition (HH, MY, TS, CYS), pp. 932–936.

ICDAR-2001-HoN #classification #constraints

Exploration of Contextual Constraints for Character Pre-Classification (TKH, GN), pp. 450–454.

ICDAR-2001-HuangH #multi #recognition

Multiresolution Recognition of Offline Handwritten Chinese Characters with Wavelet Transform (LH, XH), pp. 631–634.

ICDAR-2001-IshideraS #recognition #reduction

A Candidate Reduction Method for Handwritten Kanji Character Recognition (EI, AS), pp. 8–13.

ICDAR-2001-JagerN #database #online

Two On-Line Japanese Character Databases in Unipen Format (SJ, MN), pp. 566–571.

ICDAR-2001-KameshiroHOY #documentation #retrieval

A Document Retrieval Method from Handwritten Characters Based on OCR and Character Shape Information (TK, TH, YO, FY), pp. 597–601.

ICDAR-2001-KimSL #modelling #probability #using

Character Spotting Using Image-Based Stochastic Models (SKK, BKS, SWL), pp. 60–63.

ICDAR-2001-KoshinakaNY #dependence #probability #recognition #using #word

A Stochastic Model for Handwritten Word Recognition Using Context Dependency Between Character Patterns (TK, DN, KY), pp. 154–158.

ICDAR-2001-LiuKF #recognition #string

Lexicon-Driven Handwritten Character String Recognition for Japanese Address Reading (CLL, MK, HF), pp. 877–881.

ICDAR-2001-MaragoudakisKFK #how #independence #segmentation

How Conditional Independence Assumption Affects Handwritten Character Segmentation (MM, EK, NF, GKK), pp. 246–250.

ICDAR-2001-MatsumotoFN #analysis #online

Collection and Analysis of On-line Handwritten Japanese Character Patterns (KM, TF, MN), pp. 496–500.

ICDAR-2001-MitaH #recognition #video

Improvement of Video Text Recognition by Character Selection (TM, OH), pp. 1089–1093.

ICDAR-2001-MoriSHMM #feature model #recognition #robust

Robust Feature Extraction Based on Run-Length Compensation for Degraded Handwritten Character Recognition (MM, MS, NH, HM, NM), pp. 650–654.

ICDAR-2001-Nagy #recognition

Advanced Character Recognition 6610 (GN), p. 2.

ICDAR-2001-NishimuraTMMN #feature model #recognition #using

Off-line Hand-written Character Recognition Using Integrated 1D HMMs Based on Feature Extraction Filters (HN, MT, MM, HM, YN), pp. 417–423.

ICDAR-2001-OhLS #recognition

A Class-Modularity for Character Recognition (ISO, JSL, CYS), pp. 64–68.

ICDAR-2001-ParizeauLG #recognition #using

Character Recognition Experiments Using Unipen Data (MP, AL, CG), pp. 481–485.

ICDAR-2001-RoneeUS #2d #linear #recognition #using

Handwritten Character Recognition Using Piecewise Linear Two-Dimensional Warping (MAR, SU, HS), pp. 39–43.

ICDAR-2001-ShiGD #modelling

Active Radical Modeling for Handwritten Chinese Characters (DS, SRG, RID), pp. 236–240.

ICDAR-2001-Shin #online #programming #recognition

Online Cursive Hangul Character Recognition Based on Dynamic Programming (JS), pp. 810–815.

ICDAR-2001-SirlantzisF #classification #configuration management #multi #novel #recognition #self

Investigation of a Novel Self-configurable Multiple Classifier System for Character Recognition (KS, MCF), pp. 1002–1006.

ICDAR-2001-VelekNL #generative #image #online

Generating Realistic Kanji Character Images from On-Line Patterns (OV, MN, CLL), pp. 556–560.

ICDAR-2001-VuoriLOK #online #prototype #recognition #set

Speeding Up On-line Recognition of Handwritten Characters by Pruning the Prototype Set (VV, JL, EO, JK), pp. 501–507.

ICDAR-2001-WakaharaKS #adaptation #normalisation #recognition #using

Handwritten Japanese Character Recognition Using Adaptive Normalization by Global Affine Transformation (TW, YK, MS), pp. 424–428.

ICDAR-2001-WangCFZ #normalisation #recognition #set

Match Between Normalization Schemes and Feature Sets for Handwritten Chinese Character Recognition (QW, ZC, DDF, RZ), pp. 551–555.

ICDAR-2001-WangDL #image #recognition

Character Extraction and Recognition in Natural Scene Images (XW, XD, CL), pp. 1084–1088.

ICDAR-2001-WangK #image #verification

Character-Like Region Verification for Extracting Text in Scene Images (HW, JK), pp. 957–963.

ICDAR-2001-WangKL #image #segmentation

Character Segmentation of Color Images from Digital Camera (KW, JK, WL), pp. 210–214.

ICDAR-2001-WangL #documentation

Dual-Binarization and Anisotropic Diffusion of Chinese Characters in Calligraphy Documents (SZW, HJL), pp. 271–275.

ICDAR-2001-YamaguchiYSTT #segmentation

A Segmentation Method for Touching Japanese Handwritten Characters Based on Connecting Condition of Line (TY, TY, TS, ST, MT), pp. 837–843.

ICDAR-2001-YangLL #approach

A Bezier Curve-Based Approach to Shape Description for Chinese Calligraphy Characters (HMY, JJL, HJL), pp. 276–280.

ICDAR-2001-ZhangDZ #orthogonal #recognition

Offline Handwritten Character Recognition Based on Discriminative Training of Orthogonal Gaussian Mixture Model (RZ, XD, JZ), pp. 221–225.

ICDAR-2001-ZhaoCSW #approach #segmentation #using

Handwritten Chinese Character Segmentation Using a Two-Stage Approach (SZ, ZC, PS, QW), pp. 179–183.

ICDAR-2001-ZhaoL #documentation #kernel #recognition

High-Precision Two-Kernel Chinese Character Recognition in General Document Processing Systems (SLZ, HJL), pp. 617–621.

ICDAR-2001-ZhuS #feedback #recognition

A Handwritten Character Recognition Method with ANN Feedback (XZ, YS), pp. 255–259.

MLDM-2001-DongKS #framework #learning #recognition

Local Learning Framework for Recognition of Lowercase Handwritten Characters (JxD, AK, CYS), pp. 226–238.

CHI-2000-RickenbergR #performance #user interface

The effects of animated characters on anxiety, task performance, and evaluations of user interfaces (RR, BR), pp. 49–56.

ICPR-v1-2000-ArlandisPL #distance #recognition #using

Handwritten Character Recognition using the Continuous Distance Transformation (JA, JCPC, RL), pp. 1940–1943.

ICPR-v2-2000-Berthilsson #recognition #using

Character Recognition Using Shape for Curves (RB), pp. 2227–2230.

ICPR-v2-2000-ChaS #distance #metric #similarity

Distance between Histograms of Angular Measurements and its Application to Handwritten Character Similarity (SHC, SNS), pp. 2021–2024.

ICPR-v2-2000-ConnellSJ #online #recognition

Recognition of Unconstrained On-Line Devanagari Characters (SDC, RMKS, AKJ), pp. 2368–2371.

ICPR-v2-2000-FanW #approach

A Run-Length Coding Based Approach to Stroke Extraction of Chinese Characters (KCF, WHW), pp. 2565–2568.

ICPR-v2-2000-FukushimaN #online #recognition

On-Line Writing-Box-Free Recognition of Handwritten Japanese Text Considering Character Size Variations (TF, MN), pp. 2359–2363.

ICPR-v2-2000-KatoOA #modelling #precise #recognition #using

Precise Hand-printed Character Recognition Using Elastic Models via Nonlinear Transformation (TK, SO, HA), pp. 2364–2367.

ICPR-v2-2000-KavallieratouSFK #learning #segmentation #using

Handwritten Character Segmentation Using Transformation-Based Learning (EK, ES, NF, GKK), pp. 2634–2637.

ICPR-v2-2000-KimK #estimation #graph #parametricity #random #recognition

Minimum Entropy Estimation of Hierarchical Random Graph Parameters for Character Recognition (HYK, JHK), pp. 6050–6053.

ICPR-v2-2000-KwakCC #image #performance #recognition #video

Video Caption Image Enhancement for an Efficient Character Recognition (SK, KC, YC), pp. 2606–2609.

ICPR-v2-2000-OliveiraVC #image #normalisation

Interpolation/Decimation Scheme Applied to Size Normalization of Characters Images (JJdOJ, LRV, JMdC), pp. 2577–2580.

ICPR-v2-2000-SinghH #database #recognition

Cursive Digit and Character Recognition on Cedar Database (SS, MH), pp. 2569–2572.

ICPR-v2-2000-VuoriLOK #adaptation #classification #online #prototype

Controlling On-Line Adaptation of a Prototype-Based Classifier for Handwritten Characters (VV, JL, EO, JK), pp. 2331–2334.

ICPR-v2-2000-WangDL #fuzzy #image #recognition

Gray-Scale Character Image Recognition Based on Fuzzy DCT Transform Features (XW, XD, CL), pp. 2235–2238.

ICPR-v2-2000-WangXD #integration #multi #network #recognition

A New Integration Scheme with Multi-Layer Perceptron Networks for Handwritten Chinese Character Recognition (CHW, BX, RD), pp. 2961–2964.

ICPR-v2-2000-WangZCF #approach #markov #random #recognition

Hidden Markov Random Field Based Approach for Off-Line Handwritten Chinese Character Recognition (QW, RZ, ZC, DDF), pp. 2347–2350.

ICPR-v2-2000-WuZZ #classification #network #recognition

A Neural Network Based Classifier for Handwritten Chinese Character Recognition (MW, BZ, LZ), pp. 2561–2564.

ICPR-v2-2000-XiaoWD #adaptation #classification #recognition

Adaptive Combination of Classifiers and its Application to Handwritten Chinese Character Recognition (BX, CHW, RD), pp. 2327–2330.

ICPR-v2-2000-YoshimuraEKY #recognition

Gray-Scale Character Recognition by Gabor Jets Projection (HY, ME, KK, NY), pp. 2335–2338.

ICPR-v2-2000-ZhangDL #classification #design #feature model #multi #recognition

Multi-Scale Feature Extraction and Nested-Subset Classifier Design for High Accuracy Handwritten Character Recognition (JZ, XD, CL), pp. 2581–2584.

ICPR-v4-2000-BrakensiekWR #documentation #hybrid #modelling #n-gram #recognition

Improved Degraded Document Recognition with Hybrid Modeling Techniques and Character N-Grams (AB, DW, GR), pp. 4438–4441.

ICPR-v4-2000-CaoT #image

A Model of Stroke Extraction from Chinese Character Images (RC, CLT), pp. 4368–4371.

ICPR-v4-2000-EzakiHYK

A Pen-Based Japanese Character Input System for the Blind Person (NE, TH, SY, KK), pp. 4372–4375.

ICPR-v4-2000-GotoA #multi

Character Pattern Extraction Based on Local Multilevel Thresholding and Region Growing (HG, HA), pp. 4430–4433.

ICPR-v4-2000-Nakano00a #recognition

Needs and Seeds in Character Recognition (YN), pp. 4140–4146.

ICPR-v4-2000-OmachiIA #image #multi #using

Structure Extraction from Various Kinds of Decorated Characters Using Multi-Scale Images (SO, MI, HA), pp. 4455–4458.

ICPR-v4-2000-SawakiMH #automation #image #recognition

Automatic Acquisition of Context-based Image Templates for Degraded Character Recognition in Scene Images (MS, HM, NH), pp. 4015–4018.

ICPR-v4-2000-WakaharaK #correlation #invariant #recognition #using

Affine-Invariant Gray-Scale Character Recognition Using GAT Correlation (TW, YK), pp. 4417–4421.

ICDAR-1999-AdamOCMGL #multi #recognition

Multi-scaled and Multi-oriented Character Recognition: An Original Strategy (SA, JMO, CC, RM, JG, YL), pp. 45–48.

ICDAR-1999-AminS #recognition

Recognition of Hand-Printed Characters via Induct-RDR (AA, SS), pp. 221–224.

ICDAR-1999-AntaniA #recognition

Gujarati Character Recognition (SA, LA), pp. 418–421.

ICDAR-1999-ArikiMT #detection

Telop and Flip Frame Detection and Character Extraction from TV News Articles (YA, KM, ST), pp. 701–704.

ICDAR-1999-BansalS #how #on the #recognition

On How to Describe Shapes of Devanagari Characters and Use Them for Recognition (VB, RMKS), pp. 410–413.

ICDAR-1999-BansalS99a #clustering #string #taxonomy

Partitioning and Searching Dictionary for Correction of Optically Read Devanagari Character Strings (VB, RMKS), pp. 653–656.

ICDAR-1999-BishnuC #recursion #segmentation

Segmentation of Bangla Handwritten Text into Characters by Recursive Contour Following (AB, BBC), pp. 402–405.

ICDAR-1999-ChaSS #algorithm #analysis #approximate #recognition #sequence #string

Approximate Stroke Sequence String Matching Algorithm for Character Recognition and Analysis (SHC, YCS, SNS), pp. 53–56.

ICDAR-1999-GaoDW #algorithm #segmentation #string

A Segmentation Algorithm for Handwritten Chinese Character Strings (JG, XD, YW), pp. 633–636.

ICDAR-1999-HanmandluKM #recognition

Neural based Handwritten Character Recognition (MH, HK, KRMM), pp. 241–244.

ICDAR-1999-HaseSYSM #documentation #string

Character String Extraction from a Color Document (HH, TS, MY, MS, HM), pp. 75–78.

ICDAR-1999-HebertPG #detection #incremental #learning #using

Cursive Character Detection using Incremental Learning (JFH, MP, NG), pp. 808–811.

ICDAR-1999-Hori #recognition #video

A Video Text Extraction Method for Character Recognition (OH), pp. 25–28.

ICDAR-1999-IkedaOKNSF #recognition

A Recognition Method for Touching Japanese Handwritten Characters (HI, YO, MK, HN, HS, HF), pp. 641–644.

ICDAR-1999-Karnik #identification

Identifying Devnagri Characters (RRK), pp. 669–672.

ICDAR-1999-KhanH #recognition #using

Recognition of Real-Life Character Samples using a Structural Variation and Degradation Model (NAK, HH), pp. 225–228.

ICDAR-1999-KharmaW #invariant #recognition

A Simple Invariant Mapping Applied to Hand-written Pre-segmented Character Recognition (NNK, RKW), pp. 41–44.

ICDAR-1999-KimKL #recognition

Stroke-guided Pixel Matching for Handwritten Chinese Character Recognition (IJK, JHK, CLL), pp. 665–668.

ICDAR-1999-LaaksonenAOK #adaptation #online #recognition

Dynamically Expanding Context as Committee Adaptation Method in On-Line Recognition of Handwritten Latin Characters (JL, MA, EO, JK), pp. 796–799.

ICDAR-1999-LebourgeoisE #analysis #documentation #using

Document Analysis in Gray Level and Typography Extraction using Character Pattern Redundancies (FL, HE), pp. 177–180.

ICDAR-1999-LeeG #automation #classification

Automatic Classification of Deformed Handwritten Numeral Characters (LLL, NRG), pp. 269–272.

ICDAR-1999-LiuN99a #algorithm #classification #learning #nearest neighbour #prototype #recognition

Prototype Learning Algorithms for Nearest Neighbor Classifier with Application to Handwritten Character Recognition (CLL, MN), pp. 378–381.

ICDAR-1999-LohakanAS #segmentation #word

Single-character Segmentation for Handprinted Thai Word (ML, SA, MS), pp. 661–664.

ICDAR-1999-MoriKS #recognition #retrieval #robust #video

Robust Telop Character Recognition in Video for Content-based Retrieval (MM, SK, TS), pp. 13–16.

ICDAR-1999-NagasakiYN #automation #difference #pattern matching #recognition #using

Relaxation-based Pattern Matching using Automatic Differentiation for Off-line Character Recognition (TN, TY, MN), pp. 229–232.

ICDAR-1999-NakagawaYN #normalisation #recognition

An Off-line Character Recognition Method Employing Model-dependent Pattern Normalization by an Elastic Membrane Model (MN, TY, TN), pp. 495–498.

ICDAR-1999-NegishiKHW #automation

Character Extraction from Noisy Background for an Automatic Reference System (HN, JK, HH, TW), pp. 143–146.

ICDAR-1999-NishimuraKMN #algorithm #feature model #multi #recognition #using

Off-line Character Recognition using HMM by Multiple Directional Feature Extraction and Voting with Bagging Algorithm (HN, MK, MM, YN), pp. 49–52.

ICDAR-1999-OkamotoY #online #recognition #using

On-line Handwritten Character Recognition Method using Directional Features and Clockwise/Counterwise Direction-Change Features (MO, KY), pp. 491–494.

ICDAR-1999-SawakiMH #image #recognition #using

Character Recognition in Bookshelf Images using Context-based Image Templates (MS, HM, NH), pp. 79–82.

ICDAR-1999-SrinivasanRB #component #independence

The Independent Components of Characters are “Strokes” (SHS, KRR, SB), pp. 414–417.

ICDAR-1999-Stork #documentation #research

Character and Document Research in the Open Mind Initiative (DGS), pp. 1–12.

ICDAR-1999-SundaresanK #case study #recognition

A Study of Representations for Pen based Handwriting Recognition of Tamil Characters (CSS, SSK), pp. 422–425.

ICDAR-1999-TanakaNIAN #hybrid #integration #recognition

Hybrid Pen-Input Character Recognition System based on Integration of Online-Offline Recognition (HT, KN, KI, KA, MN), pp. 209–212.

ICDAR-1999-TaoT #feature model

The Feature Extraction of Chinese Character based on Contour Information (YT, YYT), pp. 637–640.

ICDAR-1999-UchidaS #2d #recognition #using

Handwritten Character Recognition using Monotonic and Continuous Two-dimensional Warping (SU, HS), pp. 499–502.

ICDAR-1999-VuoriLOK #adaptation #online #recognition

On-line Adaptation in Recognition of Handwritten Alphanumeric Characters (VV, JL, EO, JK), pp. 792–795.

ICDAR-1999-WakaharaK #correlation #invariant #using

Affine-Invariant Correlation of Gray-Scale Characters using GAT Iteration (TW, YK), pp. 613–616.

ICDAR-1999-WangT #documentation #image #recognition

A New Method of Character Line Extraction from Mixed-unformatted Document Image for Japanese Mail Address Recognition (XW, TT), pp. 769–772.

ICDAR-1999-Yamasaki #automation #clustering #generative #online #prototype #recognition

Automatic Prototype Stroke Generation based on Stroke Clustering for On-Line Handwritten Japanese Character Recognition (KY), pp. 673–676.

ICDAR-1999-YamazakiMK

Extraction of Personal Features from Stroke Shape, Writing Pressure and Pen Inclination in Ordinary Characters (YY, YM, NK), pp. 426–429.

ICDAR-1999-YeCS #modelling

Model-based Character Extraction from Complex Backgrounds (XY, MC, CYS), pp. 511–514.

ICDAR-1999-ZhengDWL #online #recognition

Spatio-temporal Unified Model for On-line Handwritten Chinese Character Recognition (JZ, XD, YW, ZL), pp. 649–652.

ICDAR-1999-ZhuSW #algorithm #fourier #image

A New Distinguishing Algorithm of Connected Character Image based on Fourier Transform (XZ, YS, SW), pp. 788–791.

CHI-1999-JohnsonWBKB #interface #using

Sympathetic Interfaces: Using a Plush Toy to Direct Synthetic Characters (MPJ, ADW, BB, CK, AFB), pp. 152–158.

SAC-1999-ArakiIK #detection

Detection and Correction of Mutually Interfered Erroneous Characters in Japanese Texts (TA, SI, YK), pp. 36–40.

ICPR-1998-ChanY #online #recognition

Elastic structural matching for online handwritten alphanumeric character recognition (KFC, DYY), pp. 1508–1511.

ICPR-1998-GuKTH #image #robust #using

Robust extraction of characters from color scene image using mathematical morphology (LG, TK, NT, RMH), pp. 1002–1004.

ICPR-1998-HebertPG #fuzzy #geometry #online #recognition #representation

A new fuzzy geometric representation for online isolated character recognition (JFH, MP, NG), pp. 1121–1123.

ICPR-1998-KangOC #3d #graph #using

Character grouping technique using 3D neighborhood graphs in raster map (YBK, SYO, HGC), pp. 1092–1094.

ICPR-1998-KimPJK #online #recognition

Substroke matching by segmenting and merging for online Korean cursive character recognition (CSK, KRP, BHJ, JK), pp. 1110–1113.

ICPR-1998-KiyotaYEY #online #recognition #visual notation

An improvement of on-line Japanese character recognition system for visually disabled persons (KK, TY, NE, SY), pp. 1752–1754.

ICPR-1998-KogaKSF #analysis #segmentation #using

Segmentation of Japanese handwritten characters using peripheral feature analysis (MK, TK, HS, HF), pp. 1137–1141.

ICPR-1998-MullerH #recognition

The use of eigenpictures for optical character recognition (NM, BMH), pp. 1124–1126.

ICPR-1998-NambuKMY #comparison #online #recognition

Online handwritten Chinese character recognition; comparison and improvement to Japanese Kanji recognition (HN, TK, FM, FY), pp. 1145–1149.

ICPR-1998-OkamotoNY #online #recognition

Direction-change features of imaginary strokes for on-line handwriting character recognition (MO, AN, KY), pp. 1747–1751.

ICPR-1998-PrevostM #automation #classification #multi #recognition

Automatic allograph selection and multiple expert classification for totally unconstrained handwritten character recognition (LP, MM), pp. 381–383.

ICPR-1998-SawakiMH #automation #image #recognition

Character recognition in bookshelf images by automatic template selection (MS, HM, NH), pp. 1117–1120.

ICPR-1998-ShikuKN #string #using

A method for character string extraction using local and global segment crowdedness (OS, KK, AN), pp. 1077–1080.

ICPR-1998-ShioyamaWN #algorithm #recognition

Recognition algorithm based on wavelet transform for handprinted Chinese characters (TS, HW, TN), pp. 229–232.

ICPR-1998-SunOA #algorithm #multi #recognition #taxonomy

An algorithm for constructing a multi-template dictionary for character recognition considering distribution of feature vectors (FS, SO, HA), pp. 1114–1116.

ICPR-1998-TsengL #recognition

Interfered-character recognition by removing interfering-lines and adjusting feature weights (YHT, HJL), pp. 1865–1867.

ICPR-1998-Yamasaki #automation #categorisation #clustering #online #recognition

Automatic allograph categorization based on stroke clustering for online handwritten Japanese character recognition (KY), pp. 1150–1152.

ICDAR-1997-AbakBS #algorithm #evaluation #performance #recognition

The Performance Evaluation of Thresholding Algorithms for Optical character Recognition (ATA, UB, BS), pp. 697–700.

ICDAR-1997-Amin #bibliography #recognition

Off Line Arabic Character Recognition — A Survey (AA), pp. 596–599.

ICDAR-1997-AminKS #machine learning #recognition

Hand Printed Chinese Character Recognition via Machine Learning (AA, SGK, CS), pp. 190–194.

ICDAR-1997-AnisimovichRST #classification #recognition #using

Using Combination of Structural, Feature and Raster Classifiers for Recognition of Handprinted Characters (KA, VR, AS, VT), pp. 881–885.

ICDAR-1997-Caesar #recognition

New Features for Chinese Character Recognition (TC), pp. 592–595.

ICDAR-1997-ChenDW #recognition

Off-line Handwritten Chinese Character Recognition Based on Crossing Line Feature (YC, XD, YW), pp. 206–210.

ICDAR-1997-ChouC #documentation #image #recognition

Optical Chinese character recognition for low-quality document images (TRC, FC), pp. 608–611.

ICDAR-1997-ChungY #comparison #feature model #performance #recognition

Performance comparison of several feature selection methods based on node pruning in handwritten character recognition (KC, JY), pp. 11–15.

ICDAR-1997-DjematenTZ #geometry #recognition

A Geometrical Method for Printing and Handwritten Berber Character Recognition (AD, BT, AZ), pp. 564–567.

ICDAR-1997-FoggiaSTV #geometry #recognition

Character Recognition by Geometrical Moments on Structural Decompositions (PF, CS, FT, MV), pp. 6–10.

ICDAR-1997-HaseSYSM #multi #string

Character String Extraction by Multi-stage Relaxation (HH, TS, MY, MS, HM), pp. 298–302.

ICDAR-1997-HiranoOY #recognition #using

Structural Character Recognition Using Simulated Annealing (TH, YO, FY), pp. 507–510.

ICDAR-1997-HoriuchiHYY #2d #normalisation #recognition #using

Two-dimensional Extension of Nonlinear Normalization Method using Line Density for Character Recognition (TH, RH, HY, KY), pp. 511–514.

ICDAR-1997-IpCY #recognition

Offline Handwritten Chinese Character Recognition viaRadical Extraction and Recognition (WWSI, KFLC, DSY), pp. 185–189.

ICDAR-1997-KeeniSN #distributed #network #on the #representation #using

On Distributed Representation of Output Layer for Recognizing Japanese Kana characters Using Neural Networks (KK, HS, KN), pp. 600–603.

ICDAR-1997-KimB #database #image #recognition

A Measure of Recognition Difficulty for a Character Image Database (JTK, SYB), pp. 996–1000.

ICDAR-1997-KimL #normalisation #recognition

Nonlinear Shape Normalization Methods for Gray-Scale Handwritten Character Recognition (SYK, SWL), pp. 479–482.

ICDAR-1997-KimSD #modelling #online #recognition

On-line recognition of cursive Hangul characters by modeling extended graphemes (KHK, TJS, JID), pp. 604–607.

ICDAR-1997-KimuraKMS #recognition #word

Machine and Human Recognition of Segmented Characters from Handwritten Words (FK, NK, YM, MS), p. 866–?.

ICDAR-1997-LeeWH #integration #multi

Integration of Multiple Levels of Contour Information for Chinese-Character Stroke Extraction (CL, BW, WCH), pp. 584–587.

ICDAR-1997-LiaoL #case study #recognition

A study of moment functions and its use in Chinese character recognition (SXL, QL), pp. 572–575.

ICDAR-1997-LiOHG #component #graph #relational

Recognizing components of handwritten characters by attributed relational graphs with stable features (XL, WGO, JH, WG), pp. 616–620.

ICDAR-1997-LiuHS #recognition #robust #segmentation

Robust Stroke Segmentation Method for Handwritten Chinese Character Recognition (KL, YSH, CYS), p. 211–?.

ICDAR-1997-LiuKK #recognition

High Accuracy Handwritten Chinese Character Recognition by Improved Feature Matching Method (CLL, IJK, JHK), pp. 1033–1037.

ICDAR-1997-MasakiKMNM #algorithm #online #recognition

An On-Line Handwriting Characters Recognition Algorithm RAV (Reparameterized Angle Variations) (SM, MK, OM, YN, TM), pp. 919–925.

ICDAR-1997-MatsumuraKNO #documentation #recognition

Document Input According to Recognition Accuracy of Handwritten Characters (SM, TK, ON, KO), pp. 51–55.

ICDAR-1997-Miletzki #recognition

Character Recognition in Practice Today and Tomorrow (UM), pp. 902–907.

ICDAR-1997-MiuraSM #recognition

A method of extracting curvature features and its application to handwritten character recognition (KTM, RS, SM), pp. 450–454.

ICDAR-1997-NagasakiYN #behaviour #recognition

The Behavior of Dynamic Relaxation in an Elastic Stroke Model for Character Recognition (TN, TY, MN), pp. 16–22.

ICDAR-1997-NakagawaHYSHA #database #online #sequence

On-line Handwritten Character Pattern Database Sampled in a Sequence of Sentences without any Writing Instructions (MN, TH, YY, SiS, LH, KA), pp. 376–381.

ICDAR-1997-OhS #distance #recognition

A Feature for Character Recognition Based on Directional Distance Distributions (ISO, CYS), pp. 288–292.

ICDAR-1997-OhtaTA #retrieval

Retrieval methods for English-text with missrecognized OCR characters (MO, AT, JA), pp. 950–956.

ICDAR-1997-OkamotoY #online #recognition

On-line handwriting character recognition method with directional features and direction-change features (MO, KY), pp. 926–930.

ICDAR-1997-OzdilV #recognition #segmentation

Optical Character Recognition Without Segmentation (MAÖ, FTYV), pp. 483–486.

ICDAR-1997-PrevostM #classification #recognition

Static and Dynamic Classifier Fusion for Character Recognition (LP, MM), pp. 499–506.

ICDAR-1997-RahmanF #case study #multi #recognition #using

Introducing New Multiple Expert Decision Combination Topologies: A Case Study using Recognition of Handwritten Characters (AFRR, MCF), p. 886–?.

ICDAR-1997-SawakiHI #design #image #recognition #robust #visual notation

Robust Character Recognition of Gray-Scaled Images with Graphical Designs and Noise (MS, NH, KI), pp. 491–494.

ICDAR-1997-SmeatonS #information retrieval #using

Using Character Shape Coding for Information Retrieval (AFS, ALS), p. 974–?.

ICDAR-1997-Szmurlo #bound #normalisation #recognition

Boundary Normalization for Recognition of Non-Touching Non-Degraded Characters (MS), pp. 463–466.

ICDAR-1997-TakahashiYM #algorithm #online #performance #recognition

A Fast HMM Algorithm for On-line Handwritten Character Recognition (KT, HY, TM), pp. 369–375.

ICDAR-1997-TonouchiK #algorithm #online #recognition #using

An on-line Japanese character recognition method using length-based stroke correspondence algorithm (YT, AK), pp. 633–636.

ICDAR-1997-TsengC97a

A New Method for Segmenting Handwritten Chinese Characters (LYT, RCC), pp. 568–571.

ICDAR-1997-TsengKL #automation #documentation #recognition

Speeding-up Chinese Character Recognition in an Automatic Document Reading System (YHT, CCK, HJL), pp. 629–632.

ICDAR-1997-WaizumiKSN #classification #learning #using

High speed rough classification for handwritten characters using hierarchical learning vector quantization (YW, NK, KS, YN), pp. 23–27.

ICDAR-1997-WakaharaO #adaptation #normalisation #using

Adaptive Normalization of Handwritten Characters Using Global/Local Affine Transformation (TW, KO), p. 28–?.

ICDAR-1997-WatanabeZ #recognition #string #validation

Recognition of Character Strings from Color Urban Map Imageson the Basis of Validation Mechanism (TW, RZ), pp. 805–808.

ICDAR-1997-Yamada #feature model #recognition

Non-uniformly Sampled Feature Extraction Method for Kanji Character Recognition (KY), pp. 200–205.

ICDAR-1997-YooKHK #documentation

Line Removal and Restoration of Handwritten Characters on the Form Documents (JYY, MKK, SYH, YBK), pp. 128–131.

ICDAR-1997-YoungB #constraints #readability

Constraints on handwriting Korean characters to improve the machine readability (CBY, SYB), pp. 195–199.

ICDAR-1997-ZhengDW #online

Recognizing on-line handwritten Chinese character via FARG matching (JZ, XD, YW), pp. 621–624.

CSMR-1997-ClassenHMS #migration #static analysis #user interface

CUI to GUI Migration: Static Analysis of Character-Based Panels (IC, KH, IM, MS), pp. 144–149.

HCI-SEC-1997-GunjiKK #using

Quick Address Search System with Handwriting Using Character Transition Information (KG, SK, KK), pp. 423–426.

HCI-SEC-1997-KiyotaMY #visual notation

Pen-Based Japanese Character Entry System for Visually Disabled Persons (KK, TM, SY), pp. 447–450.

STOC-1996-BonetPWY #polymorphism

Constructing Evolutionary Trees in the Presence of Polymorphic Characters (MLB, CAP, TW, SY), pp. 220–229.

ICPR-1996-AminBHMC #information management

A knowledge acquisition technique for recognizing handprinted Chinese characters (AA, MB, AGH, AM, PC), pp. 254–258.

ICPR-1996-ChenL96b #approach #online #recognition #rule-based

On-line handwriting recognition of Chinese characters via a rule-based approach (JWC, SYL), pp. 220–224.

ICPR-1996-ChenLC #analysis #classification #sequence #using

Handwritten Chinese character analysis and preclassification using stroke structural sequence (ZC, CWL, RHC), pp. 89–93.

ICPR-1996-ChiangY #recognition

A method for improving the machine recognition of confusing Chinese characters (CCC, SSY), pp. 79–83.

ICPR-1996-ChiuT #algorithm

A feature-preserved thinning algorithm for handwritten Chinese characters (HPC, DCT), pp. 235–239.

ICPR-1996-ChouFF #online #recognition

Radical-based neighboring segment matching method for on-line Chinese character recognition (KSC, KCF, TIF), pp. 84–88.

ICPR-1996-HeutteMPLO #recognition #statistics

Combining structural and statistical features for the recognition of handwritten characters (LH, JVM, TP, YL, CO), pp. 210–214.

ICPR-1996-HuY #composition

Structural decomposition and description of printed and handwritten characters (JH, HY), pp. 230–234.

ICPR-1996-KanungoH #approach #automation #documentation #generative

Automatic generation of character groundtruth for scanned documents: a closed-loop approach (TK, RMH), pp. 669–675.

ICPR-1996-KimK #multi #recognition

Multi-font and multi-size character recognition based on the sampling and quantization of an unwrapped contour (MKK, YBK), pp. 170–174.

ICPR-1996-KiyotaYES #online #recognition #visual notation

On-line Japanese character recognition system for visually disabled persons (KK, SY, NE, TS), pp. 210–214.

ICPR-1996-Kovacs-Vajna #quality

A system for reading low quality characters from printouts (ZMKV), pp. 185–189.

ICPR-1996-LeeKB #recognition

Highly accurate recognition of printed Korean characters through an improved grapheme recognition method (JSL, OJK, SYB), pp. 447–451.

ICPR-1996-LiuCC #graph #online #order #recognition #relational #using

Stroke order and stroke number free on-line Chinese character recognition using attributed relational graph matching (JL, WkC, MMYC), pp. 259–263.

ICPR-1996-MizukamiK #algorithm #recognition #using

A handwritten character recognition system using hierarchical displacement extraction algorithm (YM, KK), pp. 160–164.

ICPR-1996-NakagawaATHH #online #recognition #robust

Robust and highly customizable recognition of online handwritten Japanese characters (MN, KA, LVT, AH, TH), pp. 269–273.

ICPR-1996-OkamotoYSY #network #online #string #using

On-line handwriting character string separation method using network expression (MO, HY, KS, KY), pp. 422–425.

ICPR-1996-ParkL #approach #recognition #statistics

An HMMRF-based statistical approach for off-line handwritten character recognition (HSP, SWL), pp. 320–324.

ICPR-1996-SakanoKM #algorithm #image #search-based

Seeing the character images that an OCR system sees-analysis by genetic algorithm (HS, HK, NM), pp. 411–416.

ICPR-1996-SawakiH #design #recognition #visual notation

Text-line extraction and character recognition of Japanese newspaper headlines with graphical designs (MS, NH), pp. 73–78.

ICPR-1996-SchwenkM #constraints #distance #online #recognition

Constraint tangent distance for on-line character recognition (HS, MM), pp. 520–524.

ICPR-1996-ShioyamaH #2d #algorithm #recognition

Recognition algorithm for handprinted Chinese characters by 2D-FFT (TS, JH), pp. 225–229.

ICPR-1996-Singh #detection #recognition #using

Shape detection using gradient features for handwritten character recognition (SPS), pp. 145–149.

ICPR-1996-TangLMLLS #approach #novel #recognition

A novel approach to optical character recognition based on ring-projection-wavelet-fractal signatures (YYT, BFL, HM, JL, CHL, CYS), pp. 325–329.

ICPR-1996-Tseng0 #fuzzy #invariant #recognition

Fuzzy ring data for invariant handwritten Chinese character recognition (DCT, HPC), pp. 94–98.

ICPR-1996-WakaharaNMO #online #recognition #using

On-line cursive Kanji character recognition using stroke-based affine transformation (TW, NN, SM, KO), pp. 204–209.

ICPR-1996-WangFW #recursion

A recursive hierarchical scheme for radical extraction of handwritten Chinese characters (ABW, KCF, WHW), pp. 240–244.

ICDAR-v1-1995-ArikiM #recognition #segmentation #using

Segmentation and recognition of handwritten characters using subspace method (YA, YM), pp. 120–123.

ICDAR-v1-1995-ChiuTC #invariant #matrix #recognition #using

Invariant handwritten Chinese character recognition using weighted ring-data matrix (HPC, DCT, JCC), pp. 116–119.

ICDAR-v1-1995-DeseillignyMS #re-engineering #recognition #string

Characters string recognition on maps, a method for high level reconstruction (MPD, HLM, GS), pp. 249–252.

ICDAR-v1-1995-ElmsI #distance #invariant #modelling

Modelling polyfont printed characters with HMMs and a shift invariant Hamming distance (AJE, JI), pp. 504–507.

ICDAR-v1-1995-Garcia-SalicettiDGMF #markov #online #predict #recognition

A hidden Markov model extension of a neural predictive system for on-line character recognition (SGS, BD, PG, AM, DF), pp. 50–53.

ICDAR-v1-1995-GarciaDPC #analysis #detection #fault #pseudo #recognition #using

Error detection in character recognition using pseudosyllable analysis (RGG, YAD, FMP, JLC), pp. 446–449.

ICDAR-v1-1995-GuerfaliP #generative #modelling

The Delta LogNormal theory for the generation and modeling of cursive characters (WG, RP), pp. 495–498.

ICDAR-v1-1995-GyohtenSBKK #multi

Extracting characters and character lines in multi-agent scheme (KG, TS, NB, KK, TK), pp. 305–308.

ICDAR-v1-1995-HongLHS #classification #design #nearest neighbour #recognition

The design of a nearest-neighbor classifier and its use for Japanese character recognition (TH, SWKL, JJH, SNS), pp. 270–273.

ICDAR-v1-1995-JoeL #recognition

A combined method on the handwritten character recognition (MJJ, HJL), pp. 112–115.

ICDAR-v1-1995-Kawatani #performance #recognition #using

Character recognition performance improvement using personal handwriting characteristics (TK), pp. 98–103.

ICDAR-v1-1995-KimK #online #recognition

On-line recognition of run-on Korean characters (PKK, HJK), pp. 54–57.

ICDAR-v1-1995-LeeK #multi #network #recognition #self #using

Multi-lingual, multi-font and multi-size large-set character recognition using self-organizing neural network (SWL, JSK), pp. 28–33.

ICDAR-v1-1995-LeeK95b #network #recognition

A new type of recurrent neural network for handwritten character recognition (SWL, YJK), pp. 38–41.

ICDAR-v1-1995-LeeL #network #recognition #segmentation

Integrated segmentation and recognition of connected handwritten characters with recurrent neural network (SWL, EJL), pp. 413–416.

ICDAR-v1-1995-LeeL95a #recognition #segmentation

A new methodology for gray-scale character segmentation and recognition (DJL, SWL), pp. 524–527.

ICDAR-v1-1995-LeeT #clustering #modelling #recognition #semantics #word

A language model based on semantically clustered words in a Chinese character recognition system (HJL, CHT), pp. 450–453.

ICDAR-v1-1995-LoprestiZNS #recognition

Spatial sampling effects in optical character recognition (DPL, JZ, GN, PS), pp. 309–314.

ICDAR-v1-1995-LuoAD #approach #string

Directional mathematical morphology approach for line thinning and extraction of character strings from maps and line drawings (HL, GA, ID), pp. 257–260.

ICDAR-v1-1995-MoriAM #documentation #n-gram #recognition

Japanese document recognition based on interpolated n-gram model of character (HM, HA, SM), pp. 274–277.

ICDAR-v1-1995-ParkL #markov #random #recognition

Hidden Markov mesh random field: theory and its application to handwritten character recognition (HSP, SWL), pp. 409–412.

ICDAR-v1-1995-SuWLX #network

Hierarchical neural network for recognizing hand-written characters in engineering drawings (HS, WW, XL, SX), pp. 46–49.

ICDAR-v1-1995-Yamada #recognition

Optimal sampling intervals for Gabor features and printed Japanese character recognition (KY), pp. 150–153.

ICDAR-v2-1995-AlimiG #analysis #fault #online #recognition

The analysis of error in an on-line recognition system of Arabic handwritten characters (AMA, OAG), pp. 890–893.

ICDAR-v2-1995-AudouinS #incremental #recognition

Incremental character recognition with feature attribution (RA, LS), pp. 837–840.

ICDAR-v2-1995-BontempiM #prototype #search-based #towards

Towards a genetic based prototyper for character shapes (BB, AM), pp. 694–697.

ICDAR-v2-1995-CaseyL #bibliography #segmentation

Strategies in character segmentation: a survey (RGC, EL), pp. 1028–1033.

ICDAR-v2-1995-ChangCH #flexibility #recognition

Hierarchical flexible matching for recognition of Chinese characters (FC, YPC, YSH), pp. 824–827.

ICDAR-v2-1995-ChinW #recognition

A microprocessor-based optical character recognition check reader (FYLC, FW), pp. 982–985.

ICDAR-v2-1995-CongedoDIP #recognition

A structural method with local refining for handwritten character recognition (GC, GD, SI, GP), pp. 853–856.

ICDAR-v2-1995-HamamotoUMT #recognition #using

Recognition of handprinted Chinese characters using Gabor features (YH, SU, KM, ST), pp. 819–823.

ICDAR-v2-1995-HontaniS #detection #metric #multi

Character detection based on multi-scale measurement (HH, SS), pp. 644–647.

ICDAR-v2-1995-JunKKKK #modelling #online #recognition #using

On-line cursive Korean character recognition by using curvature models (BHJ, MYK, CSK, WSK, JK), pp. 1051–1054.

ICDAR-v2-1995-KimLK #architecture #array #hardware #implementation #parallel #recognition

Parallel hardware implementation of handwritten character recognition system on wavefront array processor architecture (YJK, SWL, MWK), pp. 715–718.

ICDAR-v2-1995-KuhnkeSK

A system for machine-written and hand-written character distinction (KK, LS, ZMKV), pp. 811–814.

ICDAR-v2-1995-LiD #recognition

The field transform and its application to personal handwritten Chinese character recognition (ML, RWD), pp. 689–692.

ICDAR-v2-1995-LiD95a #algorithm #recognition

A personal handwritten Chinese character recognition algorithm based on the generalized Hough transform (ML, RWD), pp. 828–831.

ICDAR-v2-1995-NajouaN #approach #robust #segmentation

A robust approach for Arabic printed character segmentation (NEBA, NE), pp. 865–868.

ICDAR-v2-1995-Nishida #automation #modelling

Automatic construction of structural models for unconstrained handwritten characters (HN), pp. 1107–1110.

ICDAR-v2-1995-OhK #markov #modelling #recognition #using

Off-line recognition of handwritten Korean and alphanumeric characters using hidden Markov models (CO, WSK), pp. 815–818.

ICDAR-v2-1995-RheePK #invariant #recognition #string

Rotation-invariant recognition of character strings for Korean cadastral map digitizing (PKR, JSP, YGK), pp. 944–947.

ICDAR-v2-1995-Romeo-PakkerML #approach #segmentation

A new approach for Latin/Arabic character segmentation (KRP, HM, YL), pp. 874–877.

ICDAR-v2-1995-ShikuNATK #using

Extraction of slant character candidates from maps using circular templates (OS, AN, MA, HT, HK), pp. 936–939.

ICDAR-v2-1995-Spitz

An OCR based on character shape codes and lexical information (ALS), pp. 723–728.

ICDAR-v2-1995-SrikantanLF #comparison #normalisation #recognition

Comparison of normalization methods for character recognition (GS, DSL, JTF), pp. 719–722.

ICDAR-v2-1995-StubberudKK #adaptation #image

Adaptive image restoration of text images that contain touching or broken characters (PAS, JK, VK), pp. 778–781.

ICDAR-v2-1995-WakaharaSNMO #online #problem #recognition

On-line cursive Kanji character recognition as stroke correspondence problem (TW, AS, NN, SM, KO), pp. 1059–1064.

ICDAR-v2-1995-WangCFL

Separation of Chinese characters from graphics (JYW, LHC, KCF, HYML), pp. 948–951.

ICDAR-v2-1995-WangHR #recognition #segmentation

A shape band-pass filter for character recognition and texture segmentation (DW, VHC, JR), pp. 681–684.

ICDAR-v2-1995-WehbiOLP #recognition #segmentation

Numeral characters and capital letters segmentation recognition in mixed handwriting context (HW, HO, JL, EP), pp. 878–881.

ICDAR-v2-1995-ZiinoAS #machine learning #recognition #using

Recognition of hand printed Latin characters using machine learning (DZ, AA, CS), pp. 1098–1102.

SIGIR-1995-OgawaI #documentation #using

A New Character-based Indexing Organization using Frequency Data for Japanese Documents (YO, MI), pp. 121–129.

EDAC-1994-Saucier #design #network #recognition

Design of a Digital Neural Chip: Application to Optical Character Recognition by Neural Network (DJ, GS), pp. 256–260.

ICDAR-1993-AminW #network #recognition #using

Hand-printed character recognition system using artificial neural networks (AA, WHW), pp. 943–946.

ICDAR-1993-Bai #multi #recognition #using

Multifont Chinese character recognition using side-stroke-end feature (GB), pp. 794–797.

ICDAR-1993-Bernard #multi #recognition

Multilayer perceptron and uppercase handwritten characters recognition (IB), pp. 935–938.

ICDAR-1993-ChangCDHK #segmentation

Stroke segmentation as a basis for structural matching of Chinese characters (FC, YCC, HSD, WLH, CIK), pp. 35–40.

ICDAR-1993-Chen #segmentation

Primitives segmentation and association for a line character (YSC), pp. 23–26.

ICDAR-1993-ChhabraABCLSSW #geometry #higher-order #recognition #statistics

High-order statistically derived combinations of geometric features for handprinted character recognition (AKC, ZA, DB, GC, KL, PS, RS, BW), pp. 397–401.

ICDAR-1993-ChouY #database #research #sorting

Sorting qualities of handwritten Chinese characters for setting up a research database (SLC, SSY), pp. 474–477.

ICDAR-1993-Fukushima #network #recognition

Connected character recognition with a neural network (KF), pp. 240–243.

ICDAR-1993-HamanakaYT #feature model #online #recognition

On-line Japanese character recognition experiments by an off-line method based on normalization-cooperated feature extraction (MH, KY, JT), pp. 204–207.

ICDAR-1993-HochK #clustering #on the #recognition #scalability

On virtual partitioning of large dictionaries for contextual post-processing to improve character recognition (RH, TK), pp. 226–231.

ICDAR-1993-HoriuchiTYY #on the #recognition #using

On method of training dictionaries for handwritten character recognition using relaxation matching (TH, KT, KY, HY), pp. 638–641.

ICDAR-1993-HoriuchiTYY93a #image #recognition #using

Stamped character recognition method using range image (TH, KT, HY, KY), pp. 782–785.

ICDAR-1993-JiangKT #recognition #representation #using

Recognition and representation of text characters using rubber band (JJ, WK, HT), pp. 955–958.

ICDAR-1993-KimHPKPB #database #image

Handwritten Korean character image database PE92 (DK, YSH, STP, EJK, SHP, SYB), pp. 470–473.

ICDAR-1993-Kita #automation #recognition #taxonomy #using

Making a personal recognition dictionary from characters automatically generated by using handwriting model (NK), pp. 76–81.

ICDAR-1993-KrtolicaM #algorithm #recognition

Two-stage box connectivity algorithm for optical character recognition (RK, SM), pp. 179–182.

ICDAR-1993-KuoW #segmentation

A new method for the segmentation of mixed handprinted Chinese/English characters (HHK, JFW), pp. 810–813.

ICDAR-1993-LeePT #evaluation #normalisation #performance #recognition

Performance evaluation of nonlinear shape normalization methods for the recognition of large-set handwritten characters (SWL, JSP, YT), pp. 402–407.

ICDAR-1993-LiangAS #documentation #recognition #segmentation

Segmentation of touching characters in printed document recognition (SL, MA, MS), pp. 569–572.

ICDAR-1993-LiiPS #recognition #syntax #using

Address block location using character recognition and address syntax (JL, PWP, SNS), pp. 330–334.

ICDAR-1993-LiuZT #approach #online #recognition

A new approach to on-line handwritten Chinese character recognition (YJL, LQZ, JT), pp. 192–195.

ICDAR-1993-LoprestiS #recognition

Certifiable optical character recognition (DPL, JSS), pp. 432–435.

ICDAR-1993-Lu #on the #segmentation

On the segmentation of touching characters (YL), pp. 440–443.

ICDAR-1993-MarcelliLP #recognition

A structural indexing method for character recognition (AM, NL, TP), pp. 175–178.

ICDAR-1993-MaticGDV #adaptation #online #recognition

Writer-adaptation for on-line handwritten character recognition (NM, IG, JSD, VV), pp. 187–191.

ICDAR-1993-MatsuiNYWY #contest #recognition #state of the art

State of the art of handwritten numeral recognition in Japan-The results of the first IPTP character recognition competition (TM, TN, IY, TW, MY), pp. 391–396.

ICDAR-1993-MiyaharaY #multi #network #recognition

Printed Japanese character recognition based on multiple modified LVQ neural network (KM, FY), pp. 250–253.

ICDAR-1993-NakamuraSANK #string #using

A method for recognizing character strings from maps using linguistic knowledge (AN, OS, MA, CN, HK), pp. 561–564.

ICDAR-1993-NakashimaKMSN #generative #image

A contour fill method for alpha-numeric character image generation (KN, MK, KM, YS, YN), pp. 722–725.

ICDAR-1993-Nishida #feature model #multi #recognition

Structural feature extraction on multiple bases with application to handwritten character recognition systems (HN), pp. 27–30.

ICDAR-1993-OhkuraSSH #on the #using

On discrimination of handwritten similar KANJI characters by subspace method using several features (MO, YS, MS, RH), pp. 589–592.

ICDAR-1993-OzawaN #image

A character image enhancement method from characters with various background images (HO, TN), pp. 58–61.

ICDAR-1993-ParkL #modelling #multi #probability #recognition

Large-set handwritten character recognition with multiple stochastic models (HSP, SWL), pp. 143–146.

ICDAR-1993-PlamondonBCS #algorithm #design #preprocessor #validation

Validation of preprocessing algorithms: A methodology and its application to the design of a thinning algorithm for handwritten characters (RP, MB, CC, CYS), pp. 262–269.

ICDAR-1993-RochaP #problem

A solution to the problem of touching and broken characters (JR, TP), pp. 602–605.

ICDAR-1993-SakodaZP #feature model #recognition #refinement #testing

Refinement and testing of a character recognition system based on feature extraction in grayscale space (WJS, JZ, TP), pp. 464–469.

ICDAR-1993-SekiT

Relationship between the construction of Chinese character and the correct ratio of writer indentification (YS, NT), pp. 838–841.

ICDAR-1993-SendaMI #documentation #image #process #recognition #retrieval #using

Document image retrieval system using character candidates generated by character recognition process (SS, MM, KI), pp. 541–546.

ICDAR-1993-TaiLZ #approach #detection #feature model #modelling #recognition

A model based detecting approach for feature extraction of off-line handwritten Chinese character recognition (JWT, YJL, LQZ), pp. 826–829.

ICDAR-1993-TakizawaAMI #documentation #image #string

Extraction of character strings from unformed document images (KT, DA, MM, KI), pp. 660–663.

ICDAR-1993-ToyokawaKKKIF #effectiveness #online #recognition

An on-line character recognition system for effective Japanese input (KT, KK, SK, HK, NI, MF), pp. 208–213.

ICDAR-1993-TungCL #analysis #generative #performance

Performance analysis of an OCR system via an artificial handwritten Chinese character generator (CHT, YJC, HJL), pp. 315–318.

ICDAR-1993-TungL #detection #recognition

2-stage character recognition by detection and correction of erroneously-identified characters (CHT, HJL), pp. 834–837.

ICDAR-1993-WangHF #recognition

Optical recognition of handwritten Chinese characters by partial matching (ABW, JSH, KCF), pp. 822–823.

ICDAR-1993-WangO #automation #data-driven #database #generative

Automated generation of Chinese character structure data based on extracting the strokes (JHW, SO), pp. 806–809.

ICDAR-1993-WebsterN #parallel #recognition

The feasibility of a parallel processing oriented character recognition method based on a dynamic model (RGW, MN), pp. 714–717.

ICDAR-1993-YasudaYY #correlation #recognition

Effect of the perturbed correlation method for optical character recognition (MY, KY, HY), pp. 830–833.

HCI-ACS-1993-KanSH #evaluation #towards #type system

Toward a Cognitive Ergonomics Evaluation System of Typing Chinese Characters into Computers (ZK, GS, ZH), pp. 380–385.

HCI-SHI-1993-RenM

The Minimal Sizes and the Quasi-Optimal Sizes for the Input Square During Pen-Input of Characters (XR, SM), pp. 1028–1033.

SAC-1993-WangJ #network #segmentation

Segmentation of Merged Characters by Neural Networks and Shortest-Path (JW, JSNJ), pp. 762–769.

CSCW-1992-OlsonOSC #design #how

How a Group-Editor Changes the Character of a Design Meeting as well as Its Outcome (JSO, GMO, MS, MRC), pp. 91–98.

VDME-1988-TeoA #specification

The Use of VDM in the Specification of Chinese Characters (GST, MMaA), pp. 476–499.

SIGMOD-1982-Bacon #array #database #image #visual notation

Issues Integrating Databases of Images, Graphical, Array and Character Data (GCB), p. 137.

LISP-1963-Evans #lisp #string

Character String manipulation in LISP (TE), p. 3.