Stem cursiv$ (all stems)

71 papers:

DRR-2015-DavisBS #documentation #segmentation

Min-cut segmentation of cursive handwriting in tabular documents (BLD, WAB, SDS), p. 940208.

ICDAR-2013-ZhuSSGN #2d #online #recognition #using #word

Online Handwritten Cursive Word Recognition Using Segmentation-Free MRF in Combination with P2DBMN-MQDF (BZ, AS, SS, VG, MN), pp. 349–353.

ICDAR-2011-BuiVPO #identification #recognition #using #word

Writer Identification Using TF-IDF for Cursive Handwritten Word Recognition (QAB, MV, SP, JMO), pp. 844–848.

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-FrinkenB #learning #network #recognition #word

Evaluating Retraining Rules for Semi-Supervised Learning in Neural Network Based Cursive Word Recognition (VF, HB), pp. 31–35.

ICDAR-2009-Schambach #graph #recognition

Recurrent HMMs and Cursive Handwriting Recognition Graphs (MPS), pp. 1146–1150.

ICDAR-2009-ZhuGGZ #framework #learning #online #probability #recognition

A Probabilistic Framework for Soft Target Learning in Online Cursive Handwriting Recognition (XZ, YG, FJG, LXZ), pp. 1246–1250.

DocEng-2008-MelloRL #segmentation

Segmentation of overlapping cursive handwritten digits (CABM, ER, EBL), pp. 271–274.

ICPR-2008-LongJ #novel #online #recognition #word

A novel orientation free method for online unconstrained cursive handwritten chinese word recognition (TL, LJ), pp. 1–4.

TACAS-2007-WojtczakE

PReMo : An Analyzer for P robabilistic Re cursive Mo dels (DW, KE), pp. 66–71.

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-GatosPP #hybrid #recognition #word

Hybrid Off-Line Cursive Handwriting Word Recognition (BG, IP, SJP), pp. 998–1002.

ICDAR-2005-ChengB #heuristic #segmentation #using #word

The Neural-based Segmentation of Cursive Words using Enhanced Heuristics (CKC, MB), pp. 650–654.

ICDAR-2005-DongPKS #word

Cursive word skew/slant corrections based on Radon transform (JxD, DP, AK, CYS), pp. 478–483.

ICDAR-2005-LongJ #hybrid #recognition

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

ICDAR-2005-SternbyF #adaptation #graph #independence #online #recognition

The Recognition Graph — Language Independent Adaptable On-line Cursive Script Recognition (JS, CF), pp. 14–18.

MLDM-2005-DongKSP #composition #geometry #low level #representation #word

Low-Level Cursive Word Representation Based on Geometric Decomposition (JxD, AK, CYS, DP), pp. 590–599.

ICDAR-2003-Bunke #past present future #recognition

Recognition of Cursive Roman Handwriting — Past, Present and Future (HB), p. 448–?.

ICDAR-2003-Schambach #adaptation #recognition #word

Model Length Adaptation of an HMM based Cursive Word Recognition System (MPS), pp. 109–113.

ICDAR-2003-Schambach03a #recognition #word

Determination of the Number of Writing Variants with an HMM based Cursive Word Recognition System (MPS), p. 119–?.

ICDAR-2003-VinciarelliBB #recognition #scalability

Offline Recognition of Large Vocabulary Cursive Handwritten Text (AV, SB, HB), p. 1101–?.

ICPR-v3-2002-Ruiz-PinalesL #recognition

A New Perceptive System for the Recognition of Cursive Handwriting (JRP, EL), pp. 53–56.

ICPR-v3-2002-VinciarelliB #markov #modelling #recognition #using #word

Offline Cursive Word Recognition using Continuous Density Hidden Markov Models Trained with PCA or ICA Features (AV, SB), pp. 81–84.

ICDAR-2001-EllimanS #database #generative #word

A Truthing Tool for Generating a Database of Cursive Words (DE, NS), p. 1255–?.

ICDAR-2001-Shin #online #programming #recognition

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

ICDAR-2001-WangBKR #modelling #multi #recognition

Multi-Branch and Two-Pass HMM Modeling Approaches for Off-Line Cursive Handwriting Recognition (WW, AB, AK, GR), pp. 231–235.

ICPR-v1-2000-BojovicS #markov #modelling #recognition #word

Training of Hidden Markov Models for Cursive Handwritten Word Recognition (MB, MDS), pp. 1973–1976.

ICPR-v2-2000-KimKNS #classification #recognition #word

A Methodology of Combining HMM and MLP Classifiers for Cursive Word Recognition (JHK, KKK, CPN, CYS), pp. 2319–2322.

ICPR-v2-2000-Ruiz-PinalesL #network #recognition #using

Cursive Handwriting Recognition Using the Hough Transform and a Neural Network (JRP, EL), pp. 2231–2234.

ICPR-v2-2000-SinghH #database #recognition

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

ICPR-v4-2000-ScagliolaN #algorithm #fuzzy #recognition

Crisp and Fuzzy Evaluations and D.P. Algorithms for Dealing with Extra Ink in Cursive Handwriting Recognition (CS, GN), pp. 4019–4022.

ICDAR-1999-BruzzoneC #algorithm

An Algorithm for Extracting Cursive Text Lines (EB, MCC), pp. 749–752.

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

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

ICDAR-1999-NicchiottiS #normalisation

Generalized Projections: A Tool for Cursive Handwriting Normalization (GN, CS), pp. 729–732.

ICDAR-1999-XiaoL #segmentation

Cursive Script Segmentation Incorporating Knowledge of Writing (XX, GL), pp. 535–538.

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-KnerrA #hybrid #markov #recognition #word

A neural network-hidden Markov model hybrid for cursive word recognition (SK, EA), pp. 1518–1520.

ICPR-1998-MaoSM #recognition

A system for cursive handwritten address recognition (JM, PS, KMM), pp. 1285–1287.

ICPR-1998-RigollKW #approach #hybrid #recognition #scalability

A new hybrid approach to large vocabulary cursive handwriting recognition (GR, AK, DW), pp. 1512–1514.

ICDAR-1997-BunkeAKHSSE #online #recognition #word

Recovery of temporal information of cursively handwritten words for on-line recognition (HB, RA, GK, TMH, MS, RS, FE), pp. 931–935.

ICDAR-1997-CoteCLS #automation #using

Automatic Reading of Cursive Scripts Using Human Knowledge (MC, MC, EL, CYS), pp. 107–111.

ICDAR-1997-FrankeGKM #classification #comparison #markov #modelling #polynomial #recognition

A Comparison of Gaussian Distribution and Polynomial Classifiers in a Hidden Markov Model Based System for the Recognition of Cursive Script (JF, JMG, AK, EM), pp. 515–518.

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-MotawaAS #segmentation

Segmentation of Arabic Cursive Script (DM, AA, RS), pp. 625–628.

CIKM-1996-Kamel #performance #retrieval

Fast Retrieval of Cursive Handwriting (IK), pp. 91–98.

ICPR-1996-RigollKRN #comparison #markov #modelling #recognition

A comparison between continuous and discrete density hidden Markov models for cursive handwriting recognition (GR, AK, JR, CN), pp. 205–209.

ICPR-1996-SeilerSE #online #recognition

Off-line cursive handwriting recognition compared with on-line recognition (RS, MS, FE), pp. 505–509.

ICPR-1996-WakaharaNMO #online #recognition #using

On-line cursive Kanji character recognition using stroke-based affine transformation (TW, NN, SM, KO), pp. 204–209.

ICDAR-v1-1995-DodelS #recognition

Symbolic/neural recognition of cursive amounts on bank cheques (JPD, RS), pp. 15–18.

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-GuillevicS #recognition

Cursive script recognition applied to the processing of bank cheques (DG, CYS), pp. 11–14.

ICDAR-v1-1995-MankeFW #independence #online #recognition #scalability

NPen/sup ++/: a writer independent, large vocabulary on-line cursive handwriting recognition system (SM, MF, AW), pp. 403–408.

ICDAR-v2-1995-CoteLCS

Building a Perception Based Model for Reading Cursive Script (MC, EL, MC, CYS), pp. 898–901.

ICDAR-v2-1995-HanS95a #segmentation

Off-line cursive handwriting segmentation (KH, IKS), pp. 894–897.

ICDAR-v2-1995-HashemiFS #recognition

Persian cursive script recognition (MRH, OF, RS), pp. 869–873.

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-LeeLK #online #recognition #using

On-line cursive script recognition using an island-driven search technique (SHL, HL, JHK), pp. 886–889.

ICDAR-v2-1995-NegiSA #approach #segmentation #word

A correspondence based approach to segmentation of cursive words (AN, KSS, AA), pp. 1034–1037.

ICDAR-v2-1995-PriviteraP #word

A system for scanning and segmenting cursively handwritten words into basic strokes (CMP, RP), pp. 1047–1050.

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-1993-DuneauD #classification #recognition

An improved classification for cursive script recognition (LD, BD), pp. 842–845.

ICDAR-1993-GuillevicS #performance #recognition

Cursive script recognition: A fast reader scheme (DG, CYS), pp. 311–314.

ICDAR-1993-KaltenmeierCGM #markov #modelling #recognition

Sophisticated topology of hidden Markov models for cursive script recognition (AK, TC, JMG, EM), pp. 139–142.

ICDAR-1993-KwonKPK #online #recognition

A cursive on-line Hangul recognition system based on the combination of line segments (OSK, MKK, MKP, YBK), pp. 200–203.

ICDAR-1993-Pflug #n-gram #recognition #set #using

Using n-grams for the definition of a training set for cursive handwriting recognition (VP), pp. 295–298.

ICDAR-1993-PlessisSHMLDM #classification #multi #recognition #word

A multi-classifier combination strategy for the recognition of handwritten cursive words (BP, AS, LH, EM, EL, OD, JVM), pp. 642–645.

ICDAR-1993-PowalkaSEW #interactive #multi #recognition #segmentation #word

Multiple word segmentation with interactive look-up for cursive script recognition (RKP, NS, LJE, RJW), pp. 196–199.

ICDAR-1993-RoseE #analysis #recognition #scalability #semantics

Semantic analysis for large vocabulary cursive script recognition (TGR, LJE), pp. 236–239.

ICDAR-1993-SeniorF #using

Using constrained snakes for feature spotting in off-line cursive script (AWS, FF), pp. 305–310.

ICDAR-1993-SinK #approach #online #recognition #statistics

A statistical approach with HMMs for on-line cursive Hangul (Korean script) recognition (BKS, JHK), pp. 147–150.

ICDAR-1993-ZhaoYS #named #online #recognition

Cursivewriter: On-line cursive writing recognition system (PZ, TY, YS), pp. 703–706.