Proceedings of the 10th International Conference on Document Analysis and Recognition
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Proceedings of the 10th International Conference on Document Analysis and Recognition
ICDAR, 2009.

DATA
DBLP
Scholar
CSDL
Full names Links ISxN
@proceedings{ICDAR-2009,
	address       = "Barcelona, Spain",
	ee            = "http://www.computer.org/csdl/proceedings/icdar/2009/3725/00/index.html",
	isbn          = "978-0-7695-3725-2",
	publisher     = "{IEEE Computer Society}",
	title         = "{Proceedings of the 10th International Conference on Document Analysis and Recognition}",
	year          = 2009,
}

Contents (283 items)

ICDAR-2009-HanifP #algorithm #detection #image #locality #using
Text Detection and Localization in Complex Scene Images using Constrained AdaBoost Algorithm (SMH, LP), pp. 1–5.
ICDAR-2009-PanHL #image #locality #random
Text Localization in Natural Scene Images Based on Conditional Random Field (YFP, XH, CLL), pp. 6–10.
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-UchidaHIOK
Conspicuous Character Patterns (SU, RH, MI, SO, KK), pp. 16–20.
ICDAR-2009-DreuwRGN #adaptation #recognition #refinement
Writer Adaptive Training and Writing Variant Model Refinement for Offline Arabic Handwriting Recognition (PD, DR, CG, HN), pp. 21–25.
ICDAR-2009-BallS #learning #recognition
Semi-supervised Learning for Handwriting Recognition (GRB, SNS), pp. 26–30.
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-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-IbrahimKKAG #analysis #dependence #online #using #verification
On-Line Signature Verification: Directional Analysis of a Signature Using Weighted Relative Angle Partitions for Exploitation of Inter-Feature Dependencies (MTI, MJK, MAK, KSA, LG), pp. 41–45.
ICDAR-2009-MuramatsuYM #authentication #online #using
Biometric Person Authentication Method Using Camera-Based Online Signature Acquisition (DM, KY, TM), pp. 46–50.
ICDAR-2009-ChenLM #pseudo #towards
Toward Resisting Forgery Attacks via Pseudo-Signatures (JC, DPL, FM), pp. 51–55.
ICDAR-2009-TanVK #identification #online
Impact of Alphabet Knowledge on Online Writer Identification (GXT, CVG, ACK), pp. 56–60.
ICDAR-2009-BukhariSB #documentation #image #segmentation
Coupled Snakelet Model for Curled Textline Segmentation of Camera-Captured Document Images (SSB, FS, TMB), pp. 61–65.
ICDAR-2009-PhanST #detection #video
A Laplacian Method for Video Text Detection (TQP, PS, CLT), pp. 66–70.
ICDAR-2009-YiPX #integration #multi #recognition #using #video
Using Multiple Frame Integration for the Text Recognition of Video (JY, YP, JX), pp. 71–75.
ICDAR-2009-IwamuraTHK #realtime #recognition
Real-Time Camera-Based Recognition of Characters and Pictograms (MI, TT, AH, KK), pp. 76–80.
ICDAR-2009-AlmaksourA #incremental #learning #online #performance #recognition
Fast Incremental Learning Strategy Driven by Confusion Reject for Online Handwriting Recognition (AA, ÉA), pp. 81–85.
ICDAR-2009-TewariN #adaptation #learning
Learning and Adaptation for Improving Handwritten Character Recognizers (NCT, AMN), pp. 86–90.
ICDAR-2009-HuangDJG #adaptation #analysis #incremental #linear #online #recognition #using
Writer Adaptive Online Handwriting Recognition Using Incremental Linear Discriminant Analysis (ZH, KD, LJ, XG), pp. 91–95.
ICDAR-2009-RomeroTV #feedback #image #using
Using Mouse Feedback in Computer Assisted Transcription of Handwritten Text Images (VR, AHT, EV), pp. 96–100.
ICDAR-2009-RoyPL #approach #detection #documentation #recognition
Seal Detection and Recognition: An Approach for Document Indexing (PPR, UP, JL), pp. 101–105.
ICDAR-2009-PerronninR #kernel
Fisher Kernels for Handwritten Word-spotting (FP, JARS), pp. 106–110.
ICDAR-2009-RusinolL #approach #categorisation #documentation
Logo Spotting by a Bag-of-words Approach for Document Categorization (MR, JL), pp. 111–115.
ICDAR-2009-TerasawaT #documentation #image #word
Slit Style HOG Feature for Document Image Word Spotting (KT, YT), pp. 116–120.
ICDAR-2009-PrakashG #geometry #verification
Geometric Centroids and their Relative Distances for Off-line Signature Verification (HNP, DSG), pp. 121–125.
ICDAR-2009-BonillaFGH #pseudo #verification
Offline Signature Verification Based on Pseudo-Cepstral Coefficients (JFVB, MAFB, CMTG, JBAH), pp. 126–130.
ICDAR-2009-GalballyFMO #evaluation #using #verification
Evaluation of Brute-force Attack to Dynamic Signature Verification Using Synthetic Samples (JG, JF, MMD, JOG), pp. 131–135.
ICDAR-2009-BlockSWR #documentation #multi
Multi-Exposure Document Fusion Based on Edge-Intensities (MB, MS, FW, RR), pp. 136–140.
ICDAR-2009-GotoT #smarttech
Text-Tracking Wearable Camera System for the Blind (HG, MT), pp. 141–145.
ICDAR-2009-NakaiKI #documentation #image #realtime #retrieval #using #web
Real-Time Retrieval for Images of Documents in Various Languages Using a Web Camera (TN, KK, MI), pp. 146–150.
ICDAR-2009-NagyCBSLS
Camera-Based Ballot Counter (GN, BC, AB, GS, DPL, EHBS), pp. 151–155.
ICDAR-2009-ShivakumaraPT #detection #difference #video
A Gradient Difference Based Technique for Video Text Detection (PS, TQP, CLT), pp. 156–160.
ICDAR-2009-AhmadVK #markov #recognition #using #word
Lexicon-Based Word Recognition Using Support Vector Machine and Hidden Markov Model (ARA, CVG, MK), pp. 161–165.
ICDAR-2009-KimLK #mobile #using
Scene Text Extraction Using Focus of Mobile Camera (EK, SL, JHK), pp. 166–170.
ICDAR-2009-BhattacharyaPM #image
Devanagari and Bangla Text Extraction from Natural Scene Images (UB, SKP, SM), pp. 171–175.
ICDAR-2009-ShiSG
A Steerable Directional Local Profile Technique for Extraction of Handwritten Arabic Text Lines (ZS, SS, VG), pp. 176–180.
ICDAR-2009-ClavelliK #segmentation
Text Segmentation in Colour Posters from the Spanish Civil War Era (AC, DK), pp. 181–185.
ICDAR-2009-LandreMR #classification #difference #image #using
Ornamental Letters Image Classification Using Local Dissimilarity Maps (JL, FMN, SR), pp. 186–190.
ICDAR-2009-OhkuraDTIM #recognition
Low-Resolution Character Recognition by Video-Based Super-Resolution (AO, DD, TT, II, HM), pp. 191–195.
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-HamdaniAKA #multi #online #recognition #using
Combining Multiple HMMs Using On-line and Off-line Features for Off-line Arabic Handwriting Recognition (MH, HEA, MK, AMA), pp. 201–205.
ICDAR-2009-HassanCG #documentation #image #recognition
Shape Descriptor Based Document Image Indexing and Symbol Recognition (EH, SC, MG), pp. 206–210.
ICDAR-2009-WuthrichLFIBVS #documentation #integration #recognition
Language Model Integration for the Recognition of Handwritten Medieval Documents (MW, ML, AF, EI, HB, GV, MS), pp. 211–215.
ICDAR-2009-XiuLBNS #recognition
Style-Based Ballot Mark Recognition (PX, DPL, HSB, GN, EHBS), pp. 216–220.
ICDAR-2009-DiemS #recognition #using
Recognition of Degraded Handwritten Characters Using Local Features (MD, RS), pp. 221–225.
ICDAR-2009-ShaoLQXB #constraints #documentation #re-engineering
Locally Developable Constraint for Document Surface Reconstruction (YS, XL, XQ, YX, HB), pp. 226–230.
ICDAR-2009-FerilliBEB #analysis #layout
A Distance-Based Technique for Non-Manhattan Layout Analysis (SF, MB, FE, TMAB), pp. 231–235.
ICDAR-2009-BloechleLI #canonical #documentation #named
OCD: An Optimized and Canonical Document Format (JLB, DL, RI), pp. 236–240.
ICDAR-2009-Smith #analysis #detection #hybrid #layout
Hybrid Page Layout Analysis via Tab-Stop Detection (RWS), pp. 241–245.
ICDAR-2009-ArlandisPU #identification
Identification of Very Similar Filled-in Forms with a Reject Option (JA, JCPC, EU), pp. 246–250.
ICDAR-2009-Marinai #library #metadata
Metadata Extraction from PDF Papers for Digital Library Ingest (SM), pp. 251–255.
ICDAR-2009-SharmaL #bound
Form Field Frame Boundary Removal for Form Processing System in Gurmukhi Script (DVS, GSL), pp. 256–260.
ICDAR-2009-GacebELE #automation #documentation #graph #recognition
Graph b-Coloring for Automatic Recognition of Documents (DG, VE, FL, HE), pp. 261–265.
ICDAR-2009-KhurshidFV #documentation #image #retrieval #word
Fusion of Word Spotting and Spatial Information for Figure Caption Retrieval in Historical Document Images (KK, CF, NV), pp. 266–270.
ICDAR-2009-GatosP #documentation #word
Segmentation-free Word Spotting in Historical Printed Documents (BG, IP), pp. 271–275.
ICDAR-2009-TerasawaIT #automation #evaluation #framework #word
Automatic Evaluation Framework for Word Spotting (KT, HI, YT), pp. 276–280.
ICDAR-2009-ZiaratbanFB #constraints #database #named
FHT: An Unconstraint Farsi Handwritten Text Database (MZ, KF, FB), pp. 281–285.
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-ImuraT #documentation #image #string
Compression and String Matching Method for Printed Document Images (HI, YT), pp. 291–295.
ICDAR-2009-AntonacopoulosBPP #analysis #dataset #documentation #evaluation #layout #performance
A Realistic Dataset for Performance Evaluation of Document Layout Analysis (AA, DB, CP, SP), pp. 296–300.
ICDAR-2009-PerezTSCTJ #database
The GERMANA Database (DP, LT, NS, FC, ORT, AJ), pp. 301–305.
ICDAR-2009-SunNFTH #detection #image #string
Trinary Image Mosaicing Based Watermark String Detection (JS, SN, YF, HT, YH), pp. 306–310.
ICDAR-2009-NavonBO #approach #scalability
A Generic Form Processing Approach for Large Variant Templates (YN, EB, BO), pp. 311–315.
ICDAR-2009-NaegelW #documentation
Document Binarization Based on Connected Operators (BN, LW), pp. 316–320.
ICDAR-2009-DriraLE #documentation #image #process #recognition
Document Images Restoration by a New Tensor Based Diffusion Process: Application to the Recognition of Old Printed Documents (FD, FL, HE), pp. 321–325.
ICDAR-2009-KizuYTGS #2d #data mining #mining
2D CAD Data Mining Based on Spatial Relation (HK, JY, TT, KG, NS), pp. 326–330.
ICDAR-2009-BaiLT #documentation #image #keyword #word
Keyword Spotting in Document Images through Word Shape Coding (SB, LL, CLT), pp. 331–335.
ICDAR-2009-TanVK09a #identification #information retrieval #online
Information Retrieval Model for Online Handwritten Script Identification (GXT, CVG, ACK), pp. 336–340.
ICDAR-2009-SunK #detection #embedded
Detecting Printed and Handwritten Partial Copies of Line Drawings Embedded in Complex Backgrounds (WS, KK), pp. 341–345.
ICDAR-2009-LiFWL #documentation #image #retrieval #sequence
Document Image Retrieval with Local Feature Sequences (JL, ZGF, YW, NL), pp. 346–350.
ICDAR-2009-Rodriguez-SerranoP #image #query #retrieval #word
Handwritten Word Image Retrieval with Synthesized Typed Queries (JARS, FP), pp. 351–355.
ICDAR-2009-ChouaibVCT #documentation #feature model
Generic Feature Selection and Document Processing (HC, NV, FC, ST), pp. 356–360.
ICDAR-2009-LecerfC #documentation #feature model #scalability
Scalable Feature Extraction from Noisy Documents (LL, BC), pp. 361–365.
ICDAR-2009-WangHL #verification
A New Block Partitioned Text Feature for Text Verification (XW, LH, CL), pp. 366–370.
ICDAR-2009-DalitzP #recognition
German Lute Tablature Recognition (CD, CP), pp. 371–375.
ICDAR-2009-HendersonL #analysis #image
Raster Map Image Analysis (TCH, TL), pp. 376–380.
ICDAR-2009-WangSB #documentation #information management #multimodal
Information Extraction from Multimodal ECG Documents (FW, TFSM, DB), pp. 381–385.
ICDAR-2009-ZhangL #recognition #statistics
A Pixel-level Statistical Structural Descriptor for Shape Measure and Recognition (JZ, WL), pp. 386–390.
ICDAR-2009-HamamuraAI #probability #recognition #word
An A Posteriori Probability Calculation Method for Analytic Word Recognition Applicable to Address Recognition (TH, TA, BI), pp. 391–395.
ICDAR-2009-AndreevK #image #word
Word Image Matching Based on Hausdorff Distances (AA, NK), pp. 396–400.
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-WangJW #identification #performance
High Performance Chinese/English Mixed OCR with Character Level Language Identification (KW, JJ, QW), pp. 406–410.
ICDAR-2009-ElbaatiBKEAA #recognition #using
Arabic Handwriting Recognition Using Restored Stroke Chronology (AE, HB, MK, AE, HEA, AMA), pp. 411–415.
ICDAR-2009-PirloITS #classification #normalisation
Combination of Measurement-Level Classifiers: Output Normalization by Dynamic Time Warping (GP, DI, CAT, ES), pp. 416–420.
ICDAR-2009-WangLJ #learning #modelling #segmentation #statistics #string
Statistical Modeling and Learning for Recognition-Based Handwritten Numeral String Segmentation (YW, XL, YJ), pp. 421–425.
ICDAR-2009-ShahabiR #documentation #identification
A New Method for Writer Identification of Handwritten Farsi Documents (FS, MR), pp. 426–430.
ICDAR-2009-PengSGSB #documentation #identification #markov #random
Markov Random Field Based Text Identification from Annotated Machine Printed Documents (XP, SS, VG, RS, KB), pp. 431–435.
ICDAR-2009-YinL #segmentation
A Variational Bayes Method for Handwritten Text Line Segmentation (FY, CLL), pp. 436–440.
ICDAR-2009-MoghaddamRYC #approach #documentation #framework #image #segmentation #set
A Unified Framework Based on the Level Set Approach for Segmentation of Unconstrained Double-Sided Document Images Suffering from Bleed-Through (RFM, DRH, IBY, MC), pp. 441–445.
ICDAR-2009-BukhariSB09a #independence #segmentation #using
Script-Independent Handwritten Textlines Segmentation Using Active Contours (SSB, FS, TMB), pp. 446–450.
ICDAR-2009-HeLS #analysis #linear #metric #novel #recognition
A Novel Rejection Measurement in Handwritten Numeral Recognition Based on Linear Discriminant Analysis (CLH, LL, CYS), pp. 451–455.
ICDAR-2009-PalRRK #automation #multi #recognition #string
Indian Multi-Script Full Pin-code String Recognition for Postal Automation (UP, RKR, KR, FK), pp. 456–460.
ICDAR-2009-HamamuraAI09a #pattern matching #pattern recognition #recognition
Bayesian Best-First Search for Pattern Recognition — Application to Address Recognition (TH, TA, BI), pp. 461–465.
ICDAR-2009-QuiniouCA #fault #recognition #word
Handling Out-of-Vocabulary Words and Recognition Errors Based on Word Linguistic Context for Handwritten Sentence Recognition (SQ, MC, ÉA), pp. 466–470.
ICDAR-2009-Washizawa #classification #metric
Pattern Classification on Local Metric Structure (YW), pp. 471–475.
ICDAR-2009-CoustatyOPV #composition
Drop Caps Decomposition for Indexing a New Letter Extraction Method (MC, JMO, RP, NV), pp. 476–480.
ICDAR-2009-GordoV #classification #documentation #invariant #layout #retrieval
A Rotation Invariant Page Layout Descriptor for Document Classification and Retrieval (AG, EV), pp. 481–485.
ICDAR-2009-XuSGN #categorisation #classification #documentation
A Hierarchical Classification Model for Document Categorization (JWX, VS, VG, DN), pp. 486–490.
ICDAR-2009-VamvakasGP #classification #documentation #feature model #novel #recognition
A Novel Feature Extraction and Classification Methodology for the Recognition of Historical Documents (GV, BG, SJP), pp. 491–495.
ICDAR-2009-BaudrierBCDLM #overview #perspective #retrieval
Retrieval of the Ornaments from the Hand-Press Period: An Overview (EB, SB, SC, MD, JL, FMN), pp. 496–500.
ICDAR-2009-KluznerTSWA #adaptation
Word-Based Adaptive OCR for Historical Books (VK, AT, YS, EW, AA), pp. 501–505.
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-MoghaddamC #automation #classification #clustering #documentation #image #multi #word
Application of Multi-Level Classifiers and Clustering for Automatic Word Spotting in Historical Document Images (RFM, MC), pp. 511–515.
ICDAR-2009-ZhuZLN #evaluation #online #recognition
Effect of Improved Path Evaluation for On-line Handwritten Japanese Text Recognition (BZ, XDZ, CLL, MN), pp. 516–520.
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-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-DingDJ #online #recognition
An Investigation of Imaginary Stroke Techinique for Cursive Online Handwriting Chinese Character Recognition (KD, GD, LJ), pp. 531–535.
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-Tanaka #documentation #image
Threshold Correction of Document Image Binarization for Ruled-line Extraction (HT), pp. 541–545.
ICDAR-2009-TonazziniBS #multi
Registration and Enhancement of Double-Sided Degraded Manuscripts Acquired in Multispectral Modality (AT, GB, ES), pp. 546–550.
ICDAR-2009-LeloreB #documentation #image #markov #using
Document Image Binarisation Using Markov Field Model (TL, FB), pp. 551–555.
ICDAR-2009-AgrawalD #documentation #image
Clutter Noise Removal in Binary Document Images (MA, DSD), pp. 556–560.
ICDAR-2009-Fan #image #robust
Robust Color Image Enhancement of Digitized Books (JF), pp. 561–565.
ICDAR-2009-RasagnaKJM #clustering #documentation #recognition #robust #word
Robust Recognition of Documents by Fusing Results of Word Clusters (VR, AK, CVJ, RM), pp. 566–570.
ICDAR-2009-KaeL #learning #on the fly #problem
Learning on the Fly: Font-Free Approaches to Difficult OCR Problems (AK, EGLM), pp. 571–575.
ICDAR-2009-AbdulkaderC #fault #learning #low cost #multi #using
Low Cost Correction of OCR Errors Using Learning in a Multi-Engine Environment (AA, MRC), pp. 576–580.
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-PanBS #recognition #using
Isolated Handwritten Farsi Numerals Recognition Using Sparse and Over-Complete Representations (WP, TDB, CYS), pp. 586–590.
ICDAR-2009-BenjelilKMA #identification
Arabic and Latin Script Identification in Printed and Handwritten Types Based on Steerable Pyramid Features (MB, SK, RM, AMA), pp. 591–595.
ICDAR-2009-DreuwHN #adaptation #recognition
Confidence-Based Discriminative Training for Model Adaptation in Offline Arabic Handwriting Recognition (PD, GH, HN), pp. 596–600.
ICDAR-2009-AlaeiNP #classification
Fine Classification of Unconstrained Handwritten Persian/Arabic Numerals by Removing Confusion amongst Similar Classes (AA, PN, UP), pp. 601–605.
ICDAR-2009-ZhuD #documentation #image #retrieval
Logo Matching for Document Image Retrieval (GZ, DSD), pp. 606–610.
ICDAR-2009-Takasu #approximate #estimation #similarity
Bayesian Similarity Model Estimation for Approximate Recognized Text Search (AT), pp. 611–615.
ICDAR-2009-ParakhinH #probability #ranking
Finding the Most Probable Ranking of Objects with Probabilistic Pairwise Preferences (MP, PMH), pp. 616–620.
ICDAR-2009-ChaudhuryJTSSM #analysis #image #pipes and filters
Google Newspaper Search — Image Processing and Analysis Pipeline (KC, AJ, ST, VS, SS, SM), pp. 621–625.
ICDAR-2009-NicolaouG #segmentation
Handwritten Text Line Segmentation by Shredding Text into its Lines (AN, BG), pp. 626–630.
ICDAR-2009-Hassan #documentation #graph #using
User-Guided Wrapping of PDF Documents Using Graph Matching Techniques (TH), pp. 631–635.
ICDAR-2009-ChaudhuriB #identification
Handwritten Text Line Identification in Indian Scripts (BBC, SB), pp. 636–640.
ICDAR-2009-SarkarSL #documentation #image
Classifying Foreground Pixels in Document Images (PS, ES, JL), pp. 641–645.
ICDAR-2009-SaundLS #documentation #image #named #user interface
PixLabeler: User Interface for Pixel-Level Labeling of Elements in Document Images (ES, JL, PS), pp. 646–650.
ICDAR-2009-SantosCTC #segmentation
Text Line Segmentation Based on Morphology and Histogram Projection (RPdS, GSC, IRT, GDCC), pp. 651–655.
ICDAR-2009-Pletschacher #adaptation #self
A Self-Adaptive Method for Extraction of Document-Specific Alphabets (SP), pp. 656–660.
ICDAR-2009-KanounSGIAH #approach #recognition
Affixal Approach versus Analytical Approach for Off-Line Arabic Decomposable Vocabulary Recognition (SK, FS, HG, RI, AMA, JH), pp. 661–665.
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-HasnatCK #open source
An Open Source Tesseract Based Optical Character Recognizer for Bangla Script (MAH, MRC, MK), pp. 671–675.
ICDAR-2009-ZhouLT #recognition
Character Recognition under Severe Perspective Distortion (PZ, LL, CLT), pp. 676–680.
ICDAR-2009-SidereHR #classification #graph #representation
Vector Representation of Graphs: Application to the Classification of Symbols and Letters (NS, PH, JYR), pp. 681–685.
ICDAR-2009-LouloudisSG #evaluation #novel #segmentation #word
A Novel Two Stage Evaluation Methodology for Word Segmentation Techniques (GL, NS, BG), pp. 686–690.
ICDAR-2009-HaboubiMEA #invariant #set
Invariant Primitives for Handwritten Arabic Script: A Contrastive Study of Four Feature Sets (SH, SM, NE, HEA), pp. 691–697.
ICDAR-2009-XiuB #recognition #scalability
Scaling Up Whole-Book Recognition (PX, HSB), pp. 698–702.
ICDAR-2009-Smet #automation #documentation #forensics #re-engineering
Semi-automatic Forensic Reconstruction of Ripped-up Documents (PdS), pp. 703–707.
ICDAR-2009-NguyenTB #approach #visual notation
A Symbol Spotting Approach Based on the Vector Model and a Visual Vocabulary (TON, ST, AB), pp. 708–712.
ICDAR-2009-PirloTI #classification #multi
A Feedback-Based Multi-Classifier System (GP, CAT, DI), pp. 713–717.
ICDAR-2009-GarainH #authentication #documentation #security
Machine Authentication of Security Documents (UG, BH), pp. 718–722.
ICDAR-2009-LuYSS #automation #re-engineering
Semi-automatic Roof Reconstruction (TL, YY, FS, ZS), pp. 723–727.
ICDAR-2009-Alonso-FernandezFGGO #robust #verification
Robustness of Signature Verification Systems to Imitators with Increasing Skills (FAF, JF, AG, JG, JOG), pp. 728–732.
ICDAR-2009-LoprestiZHT #analysis #documentation
Document Analysis Support for the Manual Auditing of Elections (DPL, XZ, XH, GT), pp. 733–737.
ICDAR-2009-KonyaSEG #adaptation
Constant-Time Locally Optimal Adaptive Binarization (IVK, CS, SE, SG), pp. 738–742.
ICDAR-2009-BoussellaaBZAA #algorithm #documentation #image #using
Enhanced Text Extraction from Arabic Degraded Document Images Using EM Algorithm (WB, AB, AZ, HEA, AMA), pp. 743–747.
ICDAR-2009-KukC #documentation #image
Feature Based Binarization of Document Images Degraded by Uneven Light Condition (JGK, NIC), pp. 748–752.
ICDAR-2009-EstradaT
Manuscript Bleed-through Removal via Hysteresis Thresholding (RE, CT), pp. 753–757.
ICDAR-2009-Likforman-SulemDS #documentation #preprocessor
Pre-Processing of Degraded Printed Documents by Non-local Means and Total Variation (LLS, JD, EHBS), pp. 758–762.
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-Abd-AlmageedKD #documentation #linear #using
Page Rule-Line Removal Using Linear Subspaces in Monochromatic Handwritten Arabic Documents (WAA, JK, DSD), pp. 768–772.
ICDAR-2009-SaleemCSKPN #recognition
Improvements in BBN’s HMM-Based Offline Arabic Handwriting Recognition System (SS, HC, KS, MK, RP, PN), pp. 773–777.
ICDAR-2009-BoubakerKA #algorithm #detection
New Algorithm of Straight or Curved Baseline Detection for Short Arabic Handwritten Writing (HB, MK, AMA), pp. 778–782.
ICDAR-2009-ImpedovoFM #recognition #using #word
HMM Based Handwritten Word Recognition System by Using Singularities (SI, AF, RM), pp. 783–787.
ICDAR-2009-SharmaLM
Shape Encoded Post Processing of Gurmukhi OCR (DVS, GSL, SM), pp. 788–792.
ICDAR-2009-WshahSG #segmentation
Segmentation of Arabic Handwriting Based on both Contour and Skeleton Segmentation (SW, ZS, VG), pp. 793–797.
ICDAR-2009-XiaJ
A Kai Style Calligraphic Beautification Method for Handwriting Chinese Character (WX, LJ), pp. 798–802.
ICDAR-2009-KatayamaUS #order #probability
Stochastic Model of Stroke Order Variation (YK, SU, HS), pp. 803–807.
ICDAR-2009-BulacuBZS #recognition #scalability
Recognition of Handwritten Numerical Fields in a Large Single-Writer Historical Collection (MB, AB, TvdZ, LS), pp. 808–812.
ICDAR-2009-LettnerS #documentation #image #multi #segmentation
Spatial and Spectral Based Segmentation of Text in Multispectral Images of Ancient Documents (ML, RS), pp. 813–817.
ICDAR-2009-LicataPK #similarity #visual notation
Revealing the Visually Unknown in Ancient Manuscripts with a Similarity Measure for IR-Imaged Inks (AL, AP, VK), pp. 818–822.
ICDAR-2009-EynardE #documentation #recognition #word
Italic or Roman: Word Style Recognition without A Priori Knowledge for Old Printed Documents (LE, HE), pp. 823–827.
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-BenjelilKMA09a #documentation #image #segmentation
Steerable Pyramid Based Complex Documents Images Segmentation (MB, SK, RM, AMA), pp. 833–837.
ICDAR-2009-ChiangK #automation
A Method for Automatically Extracting Road Layers from Raster Maps (YYC, CAK), pp. 838–842.
ICDAR-2009-Silva #analysis #documentation #learning #markov #modelling
Learning Rich Hidden Markov Models in Document Analysis: Table Location (ACeS), pp. 843–847.
ICDAR-2009-SchulzEGAAD #analysis
Seizing the Treasure: Transferring Knowledge in Invoice Analysis (FS, ME, MG, BA, SA, AD), pp. 848–852.
ICDAR-2009-MontreuilGHN #2d #documentation #layout #random #using
Unconstrained Handwritten Document Layout Extraction Using 2D Conditional Random Fields (FM, EG, LH, SN), pp. 853–857.
ICDAR-2009-SchullerSRK #analysis #estimation #online #overview #quote
“The Godfather” vs. “Chaos”: Comparing Linguistic Analysis Based on On-line Knowledge Sources and Bags-of-N-Grams for Movie Review Valence Estimation (BWS, JS, GR, TK), pp. 858–862.
ICDAR-2009-ChengZCN #keyword
Improvements in Keyword Search Japanese Characters within Handwritten Digital Ink (CC, BZ, XC, MN), pp. 863–866.
ICDAR-2009-SaabniE #online #recognition
Hierarchical On-line Arabic Handwriting Recognition (RS, JES), pp. 867–871.
ICDAR-2009-SeniukB #gesture #recognition
Pen Acoustic Emissions for Text and Gesture Recognition (AGS, DB), pp. 872–876.
ICDAR-2009-SchenkHSBR #implementation #modelling #online #recognition
GMs in On-Line Handwritten Whiteboard Note Recognition: The Influence of Implementation and Modeling (JS, BH, BWS, AB, GR), pp. 877–880.
ICDAR-2009-SaldarriagaMV #documentation #online #recognition #using
Using top n Recognition Candidates to Categorize On-line Handwritten Documents (SPS, EM, CVG), pp. 881–885.
ICDAR-2009-DaifallahZJ #algorithm #online #segmentation
Recognition-Based Segmentation Algorithm for On-Line Arabic Handwriting (KD, NZ, HJ), pp. 886–890.
ICDAR-2009-BharathM #clustering #framework
A Framework Based on Semi-Supervised Clustering for Discovering Unique Writing Styles (AB, SM), pp. 891–895.
ICDAR-2009-GimenezJ #embedded #recognition #word
Embedded Bernoulli Mixture HMMs for Handwritten Word Recognition (AG, AJ), pp. 896–900.
ICDAR-2009-RegmiW #collaboration #documentation #interface #multimodal
A Collaborative Interface for Multimodal Ink and Audio Documents (AR, SMW), pp. 901–905.
ICDAR-2009-OroR #approach #documentation #named
PDF-TREX: An Approach for Recognizing and Extracting Tables from PDF Documents (EO, MR), pp. 906–910.
ICDAR-2009-GaoTLTC #analysis #clustering #documentation
Analysis of Book Documents’ Table of Content Based on Clustering (LG, ZT, XL, XT, YC), pp. 911–915.
ICDAR-2009-Long #analysis #architecture
An RDF-Based Blackboard Architecture for Improving Table Analysis (VL), pp. 916–920.
ICDAR-2009-HoangTP #diagrams #image #using
Extraction of Nom Text Regions from Stele Images Using Area Voronoi Diagram (TVH, ST, NYP), pp. 921–925.
ICDAR-2009-ChandaPFP #approach #identification
Two-stage Approach for Word-wise Script Identification (SC, SP, KF, UP), pp. 926–930.
ICDAR-2009-LiT #identification #independence #online #sequence
Online Text-independent Writer Identification Based on Temporal Sequence and Shape Codes (BL, TT), pp. 931–935.
ICDAR-2009-PavelecOJNB #identification #modelling #using
Author Identification Using Compression Models (DP, LSO, EJRJ, FDNN, LVB), pp. 936–940.
ICDAR-2009-GrosickiCBG #evaluation
Results of the RIMES Evaluation Campaign for Handwritten Mail Processing (EG, MC, JMB, EG), pp. 941–945.
ICDAR-2009-SlimaneIKAH #database #evaluation #image #protocol
A New Arabic Printed Text Image Database and Evaluation Protocols (FS, RI, SK, AMA, JH), pp. 946–950.
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-StamatopoulosGP #documentation #evaluation #image #performance
A Methodology for Document Image Dewarping Techniques Performance Evaluation (NS, BG, IP), pp. 956–960.
ICDAR-2009-AssabieB #recognition #word
HMM-Based Handwritten Amharic Word Recognition with Feature Concatenation (YA, JB), pp. 961–965.
ICDAR-2009-StefanoFFM #classification #evolution #learning #network
Learning Bayesian Networks by Evolution for Classifier Combination (CDS, FF, ASdF, AM), pp. 966–970.
ICDAR-2009-NatarajanSBP #modelling #probability #recognition
Stochastic Segment Modeling for Offline Handwriting Recognition (PN, KS, AB, RP), pp. 971–975.
ICDAR-2009-DoA #recognition
Maximum Margin Training of Gaussian HMMs for Handwriting Recognition (TMTD, TA), pp. 976–980.
ICDAR-2009-SiddiqiV #recognition #set
A Set of Chain Code Based Features for Writer Recognition (IS, NV), pp. 981–985.
ICDAR-2009-LiST #identification #independence #online
Hierarchical Shape Primitive Features for Online Text-independent Writer Identification (BL, ZS, TT), pp. 986–990.
ICDAR-2009-GarainP #identification #multi #using
Off-Line Multi-Script Writer Identification Using AR Coefficients (UG, TP), pp. 991–995.
ICDAR-2009-FornesLSB #identification #music #on the #using
On the Use of Textural Features for Writer Identification in Old Handwritten Music Scores (AF, JL, GS, HB), pp. 996–1000.
ICDAR-2009-MalleronEEDR #analysis #documentation #layout
Text Lines and Snippets Extraction for 19th Century Handwriting Documents Layout Analysis (VM, VE, HE, SDC, PR), pp. 1001–1005.
ICDAR-2009-LiuBMG #bound #detection #fault #sequence
Improving the Table Boundary Detection in PDFs by Fixing the Sequence Error of the Sparse Lines (YL, KB, PM, CLG), pp. 1006–1010.
ICDAR-2009-AgrawalD09a #approach #segmentation
Voronoi++: A Dynamic Page Segmentation Approach Based on Voronoi and Docstrum Features (MA, DSD), pp. 1011–1015.
ICDAR-2009-TatsumiHK #layout #optimisation
Context-oriented Layout Optimization of Large-Print Textbooks (IT, HH, MK), pp. 1016–1020.
ICDAR-2009-PereiraC #classification #prototype
Prototype Selection for Handwritten Connected Digits Classification (CdSP, GDCC), pp. 1021–1025.
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-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-WangYL #recognition
Integrating Language Model in Handwritten Chinese Text Recognition (QFW, FY, CLL), pp. 1036–1040.
ICDAR-2009-MarinaiMS #clustering #order #using
Mathematical Symbol Indexing Using Topologically Ordered Clusters of Shape Contexts (SM, BM, GS), pp. 1041–1045.
ICDAR-2009-AwalMV #recognition #towards
Towards Handwritten Mathematical Expression Recognition (AMA, HM, CVG), pp. 1046–1050.
ICDAR-2009-KimRLK #consistency #recognition
Utilizing Consistency Context for Handwritten Mathematical Expression Recognition (KK, THR, JSL, JHK), pp. 1051–1055.
ICDAR-2009-WangSY #comprehension #online
The Understanding and Structure Analyzing for Online Handwritten Chemical Formulas (XW, GS, JY), pp. 1056–1060.
ICDAR-2009-KleberS #documentation #overview #re-engineering
A Survey of Techniques for Document and Archaeology Artefact Reconstruction (FK, RS), pp. 1061–1065.
ICDAR-2009-SadriC #approach #documentation #optimisation
A New Approach for Skew Correction of Documents Based on Particle Swarm Optimization (JS, MC), pp. 1066–1070.
ICDAR-2009-ImpedovoMFS #process #roadmap
New Trends in Digital Scanning Processes (SI, RM, AF, ES), pp. 1071–1075.
ICDAR-2009-WangBA #automation #documentation #using
Document Content Extraction Using Automatically Discovered Features (SYW, HSB, CA), pp. 1076–1080.
ICDAR-2009-CollFL #analysis #documentation
Graphological Analysis of Handwritten Text Documents for Human Resources Recruitment (RC, AF, JL), pp. 1081–1085.
ICDAR-2009-MansjurWJ #automation #categorisation #classification #kernel #learning #topic #using
Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization (DSM, TSW, BHJ), pp. 1086–1090.
ICDAR-2009-CaoPSN #adaptation #clustering #using
Unsupervised HMM Adaptation Using Page Style Clustering (HC, RP, SS, PN), pp. 1091–1095.
ICDAR-2009-BalujaC #image
Finding Images and Line-Drawings in Document-Scanning Systems (SB, MC), pp. 1096–1100.
ICDAR-2009-Martin-ToralAP #corpus #detection #documentation
Detection of Incoherences in a Document Corpus Based on the Application of a Neuro-Fuzzy System (SMT, VA, GISP), pp. 1101–1105.
ICDAR-2009-LinsSSFSST #classification #documentation #image #quality
Image Classification to Improve Printing Quality of Mixed-Type Documents (RDL, GPeS, SJS, JF, MQS, PS, MT), pp. 1106–1110.
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-ElbaatiKEA #order
Temporal Order Recovery of the Scanned Handwriting (AE, MK, AE, AMA), pp. 1116–1120.
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-YinHTSN #classification #multi #recognition
Rejection Strategies with Multiple Classifiers for Handwritten Character Recognition (XCY, HWH, YFT, JS, SN), pp. 1126–1130.
ICDAR-2009-DingJG #approach #online #recognition #word
A New Method for Rotation Free Method for Online Unconstrained Handwritten Chinese Word Recognition: A Holistic Approach (KD, LJ, XG), pp. 1131–1135.
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-WakaharaU #2d #composition #using
Hierarchical Decomposition of Handwriting Deformation Vector Field Using 2D Warping and Global/Local Affine Transformation (TW, SU), pp. 1141–1145.
ICDAR-2009-Schambach #graph #recognition
Recurrent HMMs and Cursive Handwriting Recognition Graphs (MPS), pp. 1146–1150.
ICDAR-2009-ChenLJ #estimation #modelling #orthogonal #recognition
Unsupervised Selection and Discriminative Estimation of Orthogonal Gaussian Mixture Models for Handwritten Digit Recognition (XC, XL, YJ), pp. 1151–1155.
ICDAR-2009-MiyaoM #adaptation #online #recognition #using
Writer Adaptation for Online Handwriting Recognition System Using Virtual Examples (HM, MM), pp. 1156–1160.
ICDAR-2009-YosefHKD #documentation #segmentation
Line Segmentation for Degraded Handwritten Historical Documents (IBY, NH, KK, ID), pp. 1161–1165.
ICDAR-2009-ArdizzonePDMN #fault #taxonomy
A Dual Taxonomy for Defects in Digitized Historical Photos (EA, ADP, HD, GM, CN), pp. 1166–1170.
ICDAR-2009-NtirogiannisGP #adaptation #documentation #image #logic
A Modified Adaptive Logical Level Binarization Technique for Historical Document Images (KN, BG, IP), pp. 1171–1175.
ICDAR-2009-WangBT #automation #documentation #image
Automatic Corresponding Control Points Selection for Historical Document Image Registration (JW, MSB, CLT), pp. 1176–1180.
ICDAR-2009-AbedM #how #recognition
How to Improve a Handwriting Recognition System (HEA, VM), pp. 1181–1185.
ICDAR-2009-IndermuhleLB #analysis #documentation
Combining Alignment Results for Historical Handwritten Document Analysis (EI, ML, HB), pp. 1186–1190.
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.
ICDAR-2009-KessentiniPB #multi #recognition
A Multi-Lingual Recognition System for Arabic and Latin Handwriting (YK, TP, ABH), pp. 1196–1200.
ICDAR-2009-BarratT #image #modelling #network #using
Modeling, Classifying and Annotating Weakly Annotated Images Using Bayesian Network (SB, ST), pp. 1201–1205.
ICDAR-2009-WangLYZ #database #named #online
CASIA-OLHWDB1: A Database of Online Handwritten Chinese Characters (DHW, CLL, JLY, XDZ), pp. 1206–1210.
ICDAR-2009-StoffelTR #commutative #diagrams #online #recognition
Recognition of On-Line Handwritten Commutative Diagrams (AS, ET, RR), pp. 1211–1215.
ICDAR-2009-SundaramR #online #recognition #using
An Improved Online Tamil Character Recognition Engine Using Post-Processing Methods (SS, AGR), pp. 1216–1220.
ICDAR-2009-Guest #matlab #named #online #tool support
PENTOOLS — A MATLAB Toolkit for On-line Pen-Based Data Experimentation (RMG), pp. 1221–1225.
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-SaabniE09a #database #generative #online #performance #recognition
Efficient Generation of Comprehensive Database for Online Arabic Script Recognition (RS, JES), pp. 1231–1235.
ICDAR-2009-IwataKNIUO #documentation #image
Capturing Digital Ink as Retrieving Fragments of Document Images (KI, KK, TN, MI, SU, SO), pp. 1236–1240.
ICDAR-2009-SharmaKS #online #recognition #word
Rearrangement of Recognized Strokes in Online Handwritten Gurmukhi Words Recognition (AS, RK, RKS), pp. 1241–1245.
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.
ICDAR-2009-SchenkKR #online #question #recognition
Selecting Features in On-Line Handwritten Whiteboard Note Recognition: SFS or SFFS? (JS, MK, GR), pp. 1251–1254.
ICDAR-2009-ZhangSY #online #recognition
HMM-Based Online Recognition of Handwritten Chemical Symbols (YZ, GS, JY), pp. 1255–1259.
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-GolubitskyW #multi #online #orthogonal #recognition
Online Recognition of Multi-Stroke Symbols with Orthogonal Series (OG, SMW), pp. 1265–1269.
ICDAR-2009-EmmanouilidisBP #classification #development #evaluation #locality
Development and Evaluation of Text Localization Techniques Based on Structural Texture Features and Neural Classifiers (CE, CB, NP), pp. 1270–1274.
ICDAR-2009-StreckerBAB #automation #documentation #generative #image
Automated Ground Truth Data Generation for Newspaper Document Images (TS, JvB, SA, TMB), pp. 1275–1279.
ICDAR-2009-ChowdhuryDDCM #image #robust
Robust Extraction of Text from Camera Images (SPC, SD, AKD, BC, KM), pp. 1280–1284.
ICDAR-2009-ShivakumaraPT09a #detection #robust #video
A Robust Wavelet Transform Based Technique for Video Text Detection (PS, TQP, CLT), pp. 1285–1289.
ICDAR-2009-Syeda-MahmoodBA
Disease-Specific Extraction of Text from Cardiac Echo Videos for Decision Support (TFSM, DB, AA), pp. 1290–1294.
ICDAR-2009-GalballyFMO09a
Improving the Enrollment in Dynamic Signature Verfication with Synthetic Samples (JG, JF, MMD, JOG), pp. 1295–1299.
ICDAR-2009-NguyenBL #problem #verification
Global Features for the Off-Line Signature Verification Problem (VN, MB, GL), pp. 1300–1304.
ICDAR-2009-FairhurstA #predict #profiling
An Investigation of Predictive Profiling from Handwritten Signature Data (MCF, MCDCA), pp. 1305–1309.
ICDAR-2009-Franke #analysis #forensics #reliability
Capturing Reliable Data for Computer-Based Forensic Handwriting Analysis II: Pen-position Activations (KF), pp. 1310–1314.
ICDAR-2009-BatistaGS #approach #multi #verification
A Multi-Hypothesis Approach for Off-Line Signature Verification with HMMs (LB, EG, RS), pp. 1315–1319.
ICDAR-2009-BodicLAHLK #detection #graph #integer #linear #programming #using
Symbol Detection Using Region Adjacency Graphs and Integer Linear Programming (PLB, HL, SA, PH, YL, AK), pp. 1320–1324.
ICDAR-2009-LuqmanBR #classification #graph #network #recognition #using
Graphic Symbol Recognition Using Graph Based Signature and Bayesian Network Classifier (MML, TB, JYR), pp. 1325–1329.
ICDAR-2009-SantoshLR #induction #logic programming #recognition
Inductive Logic Programming for Symbol Recognition (KCS, BL, JPR), pp. 1330–1334.
ICDAR-2009-WangC #bound #detection #documentation #image
Logo Detection in Document Images Based on Boundary Extension of Feature Rectangles (HW, YC), pp. 1335–1339.
ICDAR-2009-Garain #documentation #identification #image
Identification of Mathematical Expressions in Document Images (UG), pp. 1340–1344.
ICDAR-2009-ChangHZ #framework
A Unified Framework for Recognizing Handwritten Chemical Expressions (MC, SH, DZ), pp. 1345–1349.
ICDAR-2009-AlyUFS #classification #statistics
Statistical Classification of Spatial Relationships among Mathematical Symbols (WA, SU, AF, MS), pp. 1350–1354.
ICDAR-2009-LapointeB #case study #evaluation #performance #recognition
Issues in Performance Evaluation: A Case Study of Math Recognition (AL, DB), pp. 1355–1359.
ICDAR-2009-FujiyoshiSU #detection
Syntactic Detection and Correction of Misrecognitions in Mathematical OCR (AF, MS, SU), pp. 1360–1364.
ICDAR-2009-MaruyamaY #classification #image
Extraction of Characters on Signboards in Natural Scene Images by Stump Classifiers (MM, TY), pp. 1365–1369.
ICDAR-2009-AntonacopoulosPBP #contest #segmentation
ICDAR 2009 Page Segmentation Competition (AA, SP, DB, CP), pp. 1370–1374.
ICDAR-2009-GatosNP #contest #documentation #image
ICDAR 2009 Document Image Binarization Contest (DIBCO 2009) (BG, KN, IP), pp. 1375–1382.
ICDAR-2009-MargnerA #contest #recognition
ICDAR 2009 Arabic Handwriting Recognition Competition (VM, HEA), pp. 1383–1387.
ICDAR-2009-AbedMKA #contest #online #recognition
ICDAR 2009 Online Arabic Handwriting Recognition Competition (HEA, VM, MK, AMA), pp. 1388–1392.
ICDAR-2009-GatosSL #contest #segmentation
ICDAR 2009 Handwriting Segmentation Contest (BG, NS, GL), pp. 1393–1397.
ICDAR-2009-GrosickiA #contest #recognition
ICDAR 2009 Handwriting Recognition Competition (EG, HEA), pp. 1398–1402.
ICDAR-2009-BlankersHFV #contest #verification
ICDAR 2009 Signature Verification Competition (VLB, CEvdH, KF, LV), pp. 1403–1407.
ICDAR-2009-DoucetKDURT #contest
ICDAR 2009 Book Structure Extraction Competition (AD, GK, BD, AU, BR, NT), pp. 1408–1412.
ICDAR-2009-MozaffariS #contest #recognition
ICDAR 2009 Handwritten Farsi/Arabic Character Recognition Competition (SM, HS), pp. 1413–1417.

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