BibSLEIGH — Proceedings of the 10th International Conference on Document Analysis and Recognition

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

DATA

@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.

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

Contents (283 items)

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