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

Proceedings of the Fifth International Conference on Document Analysis and Recognition
ICDAR, 1999.

DATA

@proceedings{ICDAR-1999,
	address       = "Bangalore, India",
	ee            = "http://www.computer.org/csdl/proceedings/icdar/1999/0318/00/index.html",
	isbn          = "0-7695-0318-7",
	publisher     = "{IEEE Computer Society}",
	title         = "{Proceedings of the Fifth International Conference on Document Analysis and Recognition}",
	year          = 1999,
}

Contents (200 items)

ICDAR-1999-Stork #documentation #research: Character and Document Research in the Open Mind Initiative (DGS), pp. 1–12.
ICDAR-1999-MoriKS #recognition #retrieval #robust #video: Robust Telop Character Recognition in Video for Content-based Retrieval (MM, SK, TS), pp. 13–16.
ICDAR-1999-ShridharMHB #image #recognition: Recognition of License Plate Images: Issues and Perspectives (MS, JM, GFH, LB), pp. 17–20.
ICDAR-1999-SauvolaK #documentation #multi: Active Multimedia Documents (JJS, HK), pp. 21–24.
ICDAR-1999-Hori #recognition #video: A Video Text Extraction Method for Character Recognition (OH), pp. 25–28.
ICDAR-1999-GargiCAGKK #automation #detection #video: A System for Automatic Text Detection in Video (UG, DJC, SA, TG, RK, RK), pp. 29–32.
ICDAR-1999-LebourgeoisBE #learning #using: Structure Relation between Classes for Supervised Learning using Pretopology (FL, MB, HE), pp. 33–36.
ICDAR-1999-AtukoraleS #classification: Combining Classifiers based on Confidence Values (ASA, PNS), pp. 37–40.
ICDAR-1999-KharmaW #invariant #recognition: A Simple Invariant Mapping Applied to Hand-written Pre-segmented Character Recognition (NNK, RKW), pp. 41–44.
ICDAR-1999-AdamOCMGL #multi #recognition: Multi-scaled and Multi-oriented Character Recognition: An Original Strategy (SA, JMO, CC, RM, JG, YL), pp. 45–48.
ICDAR-1999-NishimuraKMN #algorithm #feature model #multi #recognition #using: Off-line Character Recognition using HMM by Multiple Directional Feature Extraction and Voting with Bagging Algorithm (HN, MK, MM, YN), pp. 49–52.
ICDAR-1999-ChaSS #algorithm #analysis #approximate #recognition #sequence #string: Approximate Stroke Sequence String Matching Algorithm for Character Recognition and Analysis (SHC, YCS, SNS), pp. 53–56.
ICDAR-1999-SobottkaBK #identification: Identification of Text on Colored Book and Journal Covers (KS, HB, HK), pp. 57–62.
ICDAR-1999-LecceDGIPS #documentation #image: Electronic Document Image Resizing (VDL, GD, AG, GI, GP, AS), pp. 63–66.
ICDAR-1999-WorringT #clustering #documentation #segmentation #using: Segmentation of Color Documents by Line Oriented Clustering using Spatial Information (MW, LT), pp. 67–70.
ICDAR-1999-FengTY #approach #documentation #image: A Wavelet Approach to Extracting Contours of Document Images (LF, YT, LY), pp. 71–74.
ICDAR-1999-HaseSYSM #documentation #string: Character String Extraction from a Color Document (HH, TS, MY, MS, HM), pp. 75–78.
ICDAR-1999-SawakiMH #image #recognition #using: Character Recognition in Bookshelf Images using Context-based Image Templates (MS, HM, NH), pp. 79–82.
ICDAR-1999-RamelBE #automation #image #representation: Automatic Reading of Handwritten Chemical Formulas from a Structural Representation of the Image (JYR, GB, HE), pp. 83–86.
ICDAR-1999-TangSMRTC #2d #algorithm #composition: Accelerating the 2-D Mallat Decomposition Algorithm with Cyclical Convolution and FNTT (YYT, QS, HM, DBR, YT, ZKC), pp. 87–90.
ICDAR-1999-AmanoM #documentation #image: A Feature Calibration Method for Watermarking of Document Images (TA, DM), pp. 91–94.
ICDAR-1999-JeeKL #fault #using: Error Correction of Korean Courtesy Amounts in Bank Slips using Rule Information and cross-referencing (TCJ, EJK, YL), pp. 95–98.
ICDAR-1999-KellandW #architecture #comparison #research: A Comparison of Research and Production Architectures for Check Reading Systems (SK, SW), pp. 99–102.
ICDAR-1999-Hirayama #framework #using: A Framework for Forms Processing using Enhanced-Line-Shared-Adjacent Format (YH), pp. 103–106.
ICDAR-1999-KosmalaRLP #graph grammar #markov #modelling #online #recognition #using: On-Line Handwritten Formula Recognition using Hidden Markov Models and Context Dependent Graph Grammars (AK, GR, SL, LP), pp. 107–110.
ICDAR-1999-KoerichL #automation #image #retrieval #visualisation: Automatic Storage, Retrieval, and Visualization of Bank Check Images (ALK, LLL), pp. 111–114.
ICDAR-1999-StuckelbergD #on the #probability #reasoning #recognition #using: On Musical Score Recognition using Probabilistic Reasoning (MVS, DSD), pp. 115–118.
ICDAR-1999-ToumitGE #automation #documentation #recursion: A Hierarchical and Recursive Model of Mathematical Expressions for Automatic Reading of Mathematical Documents (JT, SGS, HE), pp. 119–122.
ICDAR-1999-ClavierCL #approach #classification #image #sorting: Image Sorting — Image Classification: A Global Approach (EC, SC, JL), pp. 123–126.
ICDAR-1999-KochiS #documentation #identification: User-defined Template for Identifying Document Type and Extracting Information from Documents (TK, TS), pp. 127–130.
ICDAR-1999-FukudaSTXS #analysis: A Technique of Mathematical Expression Structure Analysis for the Handwriting Input System (RF, IS, FT, MX, MS), pp. 131–134.
ICDAR-1999-CesariniFGS #approach #comprehension #documentation #multi: A Two Level Knowledge Approach for Understanding Documents of a Multi-Class Domain (FC, EF, MG, GS), pp. 135–138.
ICDAR-1999-KamadaF #image #performance: High-speed, High-accuracy Binarization Method for Recognizing Text in Images of Low Spatial Resolutions (HK, KF), pp. 139–142.
ICDAR-1999-NegishiKHW #automation: Character Extraction from Noisy Background for an Automatic Reference System (HN, JK, HH, TW), pp. 143–146.
ICDAR-1999-LehalD #detection #documentation: A Range Free Skew Detection Technique for Digitized Gurmukhi Script Documents (GSL, RD), pp. 147–152.
ICDAR-1999-SteinherzIR #analysis #component #detection: Skew Detection via Principal Components Analysis (TS, NI, ER), pp. 153–156.
ICDAR-1999-ChangLTH #analysis #documentation #image #multi #using: Binarization of Document Images using Hadamard Multiresolution Analysis (FC, KHL, TMT, WLH), pp. 157–160.
ICDAR-1999-MisraAC #image #memory management #performance: A Memory Efficient Method for Fast Transposing Run-length Encoded Images (VM, JFA, AKC), pp. 161–164.
ICDAR-1999-MaY #documentation #estimation #image: An Enhanced Skew Angle Estimation Technique for Binary Document Images (HM, ZY), pp. 165–168.
ICDAR-1999-TanYHWZ #using: Text/Graphics Separation using Agent-based Pyramid Operations (CLT, BY, WH, QW, ZZ), pp. 169–172.
ICDAR-1999-SuralD #algorithm #documentation #generative #image #parallel #segmentation: A Two-step Algorithm and its Parallelization for the Generation of Minimum Containing Rectangles for Document Image Segmentation (SS, PKD), pp. 173–176.
ICDAR-1999-LebourgeoisE #analysis #documentation #using: Document Analysis in Gray Level and Typography Extraction using Character Pattern Redundancies (FL, HE), pp. 177–180.
ICDAR-1999-PalmeroD #documentation #using: Structured Document Labeling and Rule Extraction using a New Recurrent Fuzzy-neural System (GISP, YAD), pp. 181–184.
ICDAR-1999-YamaokaIBK #approach #documentation #image #interactive #logic #using: Interactive Approach to the Extraction of Logical Structures from Unformatted Document Images Using a Sub-structure Model (MY, OI, NB, TK), pp. 185–188.
ICDAR-1999-Ishitani #analysis #documentation #image #logic: Logical Structure Analysis of Document Images based on Emergent Computation (YI), pp. 189–192.
ICDAR-1999-AntonacopoulosC #analysis #comparative #representation #using: Region Description and Comparative Analysis using a Tesseral Representation (AA, FC), pp. 193–196.
ICDAR-1999-LiN #classification #documentation #learning: A Document Classification and Extraction System with Learning Ability (XL, PAN), pp. 197–200.
ICDAR-1999-AtalayA #documentation: An SGML based Viewer for Form Documents (VA, EA), pp. 201–204.
ICDAR-1999-FujisawaSOL: Information Capturing Camera and Developmental Issues (HF, HS, YO, SWL), pp. 205–208.
ICDAR-1999-TanakaNIAN #hybrid #integration #recognition: Hybrid Pen-Input Character Recognition System based on Integration of Online-Offline Recognition (HT, KN, KI, KA, MN), pp. 209–212.
ICDAR-1999-KavianifarA #feature model #multi #preprocessor: Preprocessing and Structural Feature Extraction for a Multi-Fonts Arabic/Persian OCR (MK, AA), pp. 213–216.
ICDAR-1999-TangT #feature model: Feature Extraction by Fractal Dimensions (YYT, YT), pp. 217–220.
ICDAR-1999-AminS #recognition: Recognition of Hand-Printed Characters via Induct-RDR (AA, SS), pp. 221–224.
ICDAR-1999-KhanH #recognition #using: Recognition of Real-Life Character Samples using a Structural Variation and Degradation Model (NAK, HH), pp. 225–228.
ICDAR-1999-NagasakiYN #automation #difference #pattern matching #recognition #using: Relaxation-based Pattern Matching using Automatic Differentiation for Off-line Character Recognition (TN, TY, MN), pp. 229–232.
ICDAR-1999-VelosoC #recognition: Neural versus Syntactic Recognition of Handwritten Numerals (LRV, JMdC), pp. 233–236.
ICDAR-1999-SaidYS #recognition #using: Recognition of English and Arabic Numerals using a Dynamic Number of Hidden Neurons (FNS, RAY, CYS), pp. 237–240.
ICDAR-1999-HanmandluKM #recognition: Neural based Handwritten Character Recognition (MH, HK, KRMM), pp. 241–244.
ICDAR-1999-WangHD #pattern matching #pattern recognition #recognition: An Integrated Pattern Recognition System and its Application (LW, JH, RD), pp. 245–248.
ICDAR-1999-WuS #classification #distance #multi #network #recognition #using: Unconstrained Handwritten Numeral Recognition using Hausdorff Distance and Multi-Layer Neural Network Classifier (XW, PS), pp. 249–252.
ICDAR-1999-ChoiO #network #recognition #using: A Segmentation-free Recognition of Two Touching Numerals using Neural Network (SMC, ISO), pp. 253–256.
ICDAR-1999-LiuN #network #recognition #using: Handwritten Numeral Recognition using Neural Networks: Improving the Accuracy by Discriminative Training (CLL, MN), pp. 257–260.
ICDAR-1999-KatoY #image #multi #order: Recovery of Drawing Order from Scanned Images of Multi-Stroke Handwriting (YK, MY), pp. 261–264.
ICDAR-1999-RibertLE #classification #design #distributed #performance #recognition: Designing Efficient Distributed Neural Classifiers: Application to Handwritten Digit Recognition (AR, YL, AE), pp. 265–268.
ICDAR-1999-LeeG #automation #classification: Automatic Classification of Deformed Handwritten Numeral Characters (LLL, NRG), pp. 269–272.
ICDAR-1999-VaidyaDGS #approach #documentation #feature model #recognition #statistics: Statistical Approach to Feature Extraction for Numeral Recognition from Degraded Documents (VV, VD, DG, BS), pp. 273–276.
ICDAR-1999-FujisawaSWK #image #recognition #using: Handwritten Numeral Recognition using Gradient and Curvature of Gray Scale Image (YF, MS, TW, FK), pp. 277–280.
ICDAR-1999-BlumensteinV #benchmark #database #metric #recognition #segmentation #word: Neural-based Solutions for the Segmentation and Recognition of Difficult Handwritten Words from a Benchmark Database (MB, BV), pp. 281–284.
ICDAR-1999-HuKW #classification #comparison #documentation #image #layout: Document Image Layout Comparison and Classification (JH, RSK, GTW), pp. 285–288.
ICDAR-1999-MullerER #database #multi #retrieval #sketching #using: Multimedia Database Retrieval using Hand-Drawn Sketches (SM, SE, GR), pp. 289–292.
ICDAR-1999-SchomakerVL #image #query: New Use for the Pen: Outline-based Image Queries (LS, LV, EdL), pp. 293–296.
ICDAR-1999-Lopresti #algorithm #detection #documentation #modelling: Models and Algorithms for Duplicate Document Detection (DPL), pp. 297–300.
ICDAR-1999-KiseMYM #automation #documentation #generative #hypermedia #keyword #on the #using: On the Use of Density Distribution of Keywords for Automated Generation of Hypertext Links from Arbitrary Parts of Documents (KK, HM, MY, KM), pp. 301–304.
ICDAR-1999-LeeH #detection #documentation: Duplicate Detection in Symbolically Compressed Documents (DSL, JJH), pp. 305–308.
ICDAR-1999-SrihariYG #analysis #automation: Information Theoretic Analysis of Postal Address Fields for Automatic Address Interpretation (SNS, WjY, VG), pp. 309–312.
ICDAR-1999-AokiANNM #approach #multi #recognition: A New Approach for Multilingual Address Recognition (YA, TA, AN, NN, HM), pp. 313–316.
ICDAR-1999-Walischewski #automation #learning: Learning Regions of Interest in Postal Automation (HW), pp. 317–320.
ICDAR-1999-OgataUMSF #recognition: A Method for Street Number Matching in Japanese Address Recognition (HO, YU, KM, HS, HF), pp. 321–324.
ICDAR-1999-MahadevanS #parsing #recognition: Parsing and Recognition of City, State, and ZIP Codes in Handwritten Addresses (UM, SNS), pp. 325–328.
ICDAR-1999-MiletzkiBS #learning: Continuous Learning Systems: Postal Address Readers with Built-In Learning Capability (UM, TB, HS), pp. 329–332.
ICDAR-1999-Ho #identification #keyword #learning #performance #word: Fast Identification of Stop Words for Font Learning and Keyword Spotting (TKH), pp. 333–336.
ICDAR-1999-LuSNBM #roadmap: Advances in the BBN BYBLOS OCR System (ZL, RMS, PN, IB, JM), pp. 337–340.
ICDAR-1999-GarainC #documentation: Extraction of Type Style based Meta-Information from Imaged Documents (UG, BBC), pp. 341–344.
ICDAR-1999-XiLT #novel: A Novel Method for Discriminating between Oriental and European Languages by Fractal Features (DX, SWL, YYT), pp. 345–348.
ICDAR-1999-ZhuTW #analysis #recognition: Font Recognition based on Global Texture Analysis (YZ, TT, YW), pp. 349–352.
ICDAR-1999-JungSS #classification #multi #using: Multifont Classification using Typographical Attributes (MCJ, YCS, SNS), pp. 353–356.
ICDAR-1999-NatarajanBLMS #documentation #robust: Robust OCR of Degraded Documents (PN, IB, ZL, JM, RMS), pp. 357–361.
ICDAR-1999-CracknellD #agile #analysis #comprehension #documentation #prototype #research: A Handwriting Understanding Environment (HUE) for Rapid Prototyping in Handwriting and Document Analysis Research (CC, ACD), pp. 362–365.
ICDAR-1999-AltamuraEM #adaptation #analysis #documentation #interactive: WISDOM++: An Interactive and Adaptive Document Analysis System (OA, FE, DM), pp. 366–369.
ICDAR-1999-Thoma #analysis #automation #database #documentation #image #online: Automating Data Entry for an On-line Biomedical Database: A Document Image Analysis Application (GRT), pp. 370–373.
ICDAR-1999-HitzRI #analysis #documentation #image: Analysis of Synthetic Document Images (OH, LR, RI), pp. 374–377.
ICDAR-1999-LiuN99a #algorithm #classification #learning #nearest neighbour #prototype #recognition: Prototype Learning Algorithms for Nearest Neighbor Classifier with Application to Handwritten Character Recognition (CLL, MN), pp. 378–381.
ICDAR-1999-SarkarN: Heeding More Than the Top Template (PS, GN), pp. 382–385.
ICDAR-1999-KlinkJ #named: MergeLayouts: Overcoming Faulty Segmentations by a Comprehensive Voting of Commercial OCR Devices (SK, TJ), pp. 386–389.
ICDAR-1999-StockerRL #classification #network #problem #self: Self-organized Classification Problem Solving with Yprel Neural Networks (ES, AR, YL), pp. 390–393.
ICDAR-1999-ImpedovoS #evaluation: Evaluation of Combination Methods (SI, AS), pp. 394–397.
ICDAR-1999-KangL #classification #fault: Combining Classifiers based on Minimization of a Bayes Error Rate (HJK, SWL), pp. 398–401.
ICDAR-1999-BishnuC #recursion #segmentation: Segmentation of Bangla Handwritten Text into Characters by Recursive Contour Following (AB, BBC), pp. 402–405.
ICDAR-1999-PalC #documentation #multi: Script Line Separation from Indian Multi-Script Documents (UP, BBC), pp. 406–409.
ICDAR-1999-BansalS #how #on the #recognition: On How to Describe Shapes of Devanagari Characters and Use Them for Recognition (VB, RMKS), pp. 410–413.
ICDAR-1999-SrinivasanRB #component #independence: The Independent Components of Characters are “Strokes” (SHS, KRR, SB), pp. 414–417.
ICDAR-1999-AntaniA #recognition: Gujarati Character Recognition (SA, LA), pp. 418–421.
ICDAR-1999-SundaresanK #case study #recognition: A Study of Representations for Pen based Handwriting Recognition of Tamil Characters (CSS, SSK), pp. 422–425.
ICDAR-1999-YamazakiMK: Extraction of Personal Features from Stroke Shape, Writing Pressure and Pen Inclination in Ordinary Characters (YY, YM, NK), pp. 426–429.
ICDAR-1999-MoritaFBGS: Mathematical Morphology and Weighted Least Squares to Correct Handwriting Baseline Skew (MEM, JF, FB, SJAG, RS), pp. 430–433.
ICDAR-1999-ConnellJ #adaptation #modelling #online: Writer Adaptation of Online Handwriting Models (SDC, AKJ), pp. 434–437.
ICDAR-1999-PrevostM #online #recognition: Non-supervised Determination of Allograph Sub-classes for On-line Omni-scriptor Handwriting Recognition (LP, MM), pp. 438–441.
ICDAR-1999-KosmalaWR #clustering #online #recognition #scalability: Advanced State Clustering for Very Large Vocabulary HMM-based On-Line Handwriting Recognition (AK, DW, GR), pp. 442–445.
ICDAR-1999-BrakensiekKWWR #evaluation #hybrid #modelling #online #performance #recognition #using: Performance Evaluation of a New Hybrid Modeling Technique for Handwriting Recognition using On-Line and Off-Line Data (AB, AK, DW, WW, GR), pp. 446–449.
ICDAR-1999-ThulkeMD #documentation #evaluation #quality #segmentation: Quality Evaluation of Document Segmentation Results (MT, VM, AD), p. 450.
ICDAR-1999-AntonacopoulosB #algorithm #analysis #flexibility #performance #segmentation: Methodology for Flexible and Efficient Analysis of the Performance of Page Segmentation Algorithms (AA, AB), pp. 451–454.
ICDAR-1999-Viard-GaudinLBK #database: The IRESTE On/Off (IRONOFF) Dual Handwriting Database (CVG, PML, PB, SK), pp. 455–458.
ICDAR-1999-Baird #documentation #image #quality: Document Image Quality: Making Fine Discriminations (HSB), pp. 459–462.
ICDAR-1999-SuralD99a #documentation #image #markov: A Two-state Markov Chain Model of Degraded Document Images (SS, PKD), pp. 463–466.
ICDAR-1999-LiNSSX: Cooperative Text and Line-Art Extraction from a Topographic Map (LL, GN, AS, SCS, YX), pp. 467–470.
ICDAR-1999-Syeda-Mahmood #image #keyword: Extracting Indexing Keywords from Image Structures in Engineering Drawings (TFSM), pp. 471–474.
ICDAR-1999-DupontDG: DTM Extraction from Topographic Maps (FD, MPD, MG), pp. 475–478.
ICDAR-1999-LladosML #detection #diagrams: A Hough-based Method for Hatched Pattern Detection in Maps and Diagrams (JL, EM, JLK), pp. 479–482.
ICDAR-1999-ValvenyM #architecture #recognition: Application of Deformable Template Matching to Symbol Recognition in Hand-written Architectural Drawings (EV, EM), pp. 483–486.
ICDAR-1999-DoschM #2d #3d #re-engineering: Reconstruction of the 3D Structure of a Building from the 2D Drawings of its Floors (PD, GM), pp. 487–490.
ICDAR-1999-OkamotoY #online #recognition #using: On-line Handwritten Character Recognition Method using Directional Features and Clockwise/Counterwise Direction-Change Features (MO, KY), pp. 491–494.
ICDAR-1999-NakagawaYN #normalisation #recognition: An Off-line Character Recognition Method Employing Model-dependent Pattern Normalization by an Elastic Membrane Model (MN, TY, TN), pp. 495–498.
ICDAR-1999-UchidaS #2d #recognition #using: Handwritten Character Recognition using Monotonic and Continuous Two-dimensional Warping (SU, HS), pp. 499–502.
ICDAR-1999-Kawatani #classification #recognition #using: Handwritten Kanji Recognition using Combined Complementary Classifiers in a Cascade Arrangement (TK), pp. 503–506.
ICDAR-1999-KimJS #approach #recognition #word: A Lexicon Driven Approach for Off-line Recognition of Unconstrained Handwritten Korean Words (SHK, SJ, CYS), pp. 507–510.
ICDAR-1999-YeCS #modelling: Model-based Character Extraction from Complex Backgrounds (XY, MC, CYS), pp. 511–514.
ICDAR-1999-MarinaiN #segmentation: Projection based Segmentation of Musical Sheets (SM, PN), pp. 515–518.
ICDAR-1999-MadhvanathMM #image: Extracting Patron Data from Check Images (SM, SM, KMM), pp. 519–522.
ICDAR-1999-GorskiAABPS #product line #recognition: A2iA Check Reader: A Family of Bank Check Recognition Systems (NG, VA, EA, OB, DP, JCS), pp. 523–526.
ICDAR-1999-KacemBA #automation #named: EXTRAFOR: Automatic EXTRAction of Mathematical FORmulas (AK, AB, MBA), pp. 527–530.
ICDAR-1999-XingyuanGDO #analysis #robust: A Robust Method for Unknown Forms Analysis (XL, WG, DSD, WGO), pp. 531–534.
ICDAR-1999-XiaoL #segmentation: Cursive Script Segmentation Incorporating Knowledge of Writing (XX, GL), pp. 535–538.
ICDAR-1999-WimmerDG #recognition #taxonomy #word: Dictionary Preselection in a Neuro-Markovian Word Recognition System (ZW, BD, PG), pp. 539–542.
ICDAR-1999-ChenMM #algorithm #graph #performance #segmentation: An Efficient Algorithm for Matching a Lexicon with a Segmentation Graph (DYC, JM, KMM), pp. 543–546.
ICDAR-1999-SherkatA #image #recognition #word: Whole Word Recognition in Facsimile Images (NS, TJA), pp. 547–550.
ICDAR-1999-LiangHP #segmentation #statistics: A Statistically based, Highly Accurate Text-line Segmentation Method (JL, RMH, ITP), pp. 551–554.
ICDAR-1999-Hobby #classification #composition #geometry #layout: Page Decomposition and Signature Finding via Shape Classification and Geometric Layout (JDH), pp. 555–558.
ICDAR-1999-GatosMCTP #algorithm #composition: Integrated Algorithms for Newspaper Page Decomposition and Article Tracking (BG, SLM, KC, AT, SJP), pp. 559–562.
ICDAR-1999-CesariniGMS #documentation #representation #segmentation: Structured Document Segmentation and Representation by the Modified X-Y tree (FC, MG, SM, GS), pp. 563–566.
ICDAR-1999-ViswanathanBDT #documentation #retrieval #using: Retrieval from Spoken Documents using Content and Speaker Information (MV, HSMB, SD, AT), pp. 567–572.
ICDAR-1999-BunkeSYS #online #using #video: Online Handwriting Data Acquisition using a Video Camera (HB, TvS, TY, MS), pp. 573–576.
ICDAR-1999-Faure #analysis #documentation #image: Preattentive Reading and Selective Attention for Document Image Analysis (CF), pp. 577–580.
ICDAR-1999-RichyL #online #web: On-line Correction of Web Pages (HR, GL), pp. 581–584.
ICDAR-1999-UrecheP #aspect-oriented #documentation #security: Document Transport, Transfer, and Exchange: Security and Commercial Aspects (OU, RP), pp. 585–588.
ICDAR-1999-DowntonLD #evaluation #lazy evaluation #recognition: Lazy Evaluation for Best-First Contextual Handwriting Recognition (ACD, SML, LD), pp. 589–592.
ICDAR-1999-FrecheV #metric: Local and Global Approaches to Achieve Quantitative Measurement of Handwritings (TF, NV), pp. 593–596.
ICDAR-1999-LecceDGIPSS #automation #verification: Selection of Reference Signatures for Automatic Signature Verification (VDL, GD, AG, SI, GP, AS, LS), pp. 597–600.
ICDAR-1999-CordellaFSV #approach #documentation #multi #validation: Document Validation by Signature: A Serial Multi-Expert Approach (LPC, PF, CS, MV), pp. 601–604.
ICDAR-1999-ParkGS #performance #recognition #segmentation #word: Efficient Word Segmentation Driven by Unconstrained Handwritten Phrase Recognition (JP, VG, SNS), pp. 605–608.
ICDAR-1999-RemakiC #documentation #image #kernel #product line #using #visual notation: Visual Data Extraction from Bi-level Document Images using a Generalized Kernel Family with Compact Support, in Scale-Space (LR, MC), pp. 609–612.
ICDAR-1999-WakaharaK #correlation #invariant #using: Affine-Invariant Correlation of Gray-Scale Characters using GAT Iteration (TW, YK), pp. 613–616.
ICDAR-1999-ChenD #algorithm #detection #documentation #image #robust: A Robust Skew Detection Algorithm for Grayscale Document Image (MC, XD), pp. 617–620.
ICDAR-1999-OkunPS #documentation #estimation #image #robust: Robust Skew Estimation on Low-Resolution Document Images (OO, MP, JJS), pp. 621–624.
ICDAR-1999-HaffnerBHL #documentation #internet #named: DjVu: Analyzing and Compressing Scanned Documents for Internet Distribution (PH, LB, PGH, YL), pp. 625–628.
ICDAR-1999-JiangBW #clustering #detection #documentation #image #nearest neighbour: Skew Detection of Document Images by Focused Nearest-Neighbor Clustering (XJ, HB, DWK), pp. 629–632.
ICDAR-1999-GaoDW #algorithm #segmentation #string: A Segmentation Algorithm for Handwritten Chinese Character Strings (JG, XD, YW), pp. 633–636.
ICDAR-1999-TaoT #feature model: The Feature Extraction of Chinese Character based on Contour Information (YT, YYT), pp. 637–640.
ICDAR-1999-IkedaOKNSF #recognition: A Recognition Method for Touching Japanese Handwritten Characters (HI, YO, MK, HN, HS, HF), pp. 641–644.
ICDAR-1999-PalC99a #automation: Automatic Separation of Machine-Printed and Hand-Written Text Lines (UP, BBC), pp. 645–648.
ICDAR-1999-ZhengDWL #online #recognition: Spatio-temporal Unified Model for On-line Handwritten Chinese Character Recognition (JZ, XD, YW, ZL), pp. 649–652.
ICDAR-1999-BansalS99a #clustering #string #taxonomy: Partitioning and Searching Dictionary for Correction of Optically Read Devanagari Character Strings (VB, RMKS), pp. 653–656.
ICDAR-1999-ChaudhuryS #identification: Trainable Script Identification Strategies for Indian Languages (SC, RS), pp. 657–660.
ICDAR-1999-LohakanAS #segmentation #word: Single-character Segmentation for Handprinted Thai Word (ML, SA, MS), pp. 661–664.
ICDAR-1999-KimKL #recognition: Stroke-guided Pixel Matching for Handwritten Chinese Character Recognition (IJK, JHK, CLL), pp. 665–668.
ICDAR-1999-Karnik #identification: Identifying Devnagri Characters (RRK), pp. 669–672.
ICDAR-1999-Yamasaki #automation #clustering #generative #online #prototype #recognition: Automatic Prototype Stroke Generation based on Stroke Clustering for On-Line Handwritten Japanese Character Recognition (KY), pp. 673–676.
ICDAR-1999-GrabowskiLM #segmentation: Stepwise Segmentation and Interpretation of Section Representations in Vectorized Drawings (HG, CL, AM), pp. 677–680.
ICDAR-1999-KameshiroHOY #documentation #fault #image #multi #recognition #retrieval #segmentation #using: A Document Image Retrieval Method Tolerating Recognition and Segmentation Errors of OCR using Shape-Feature and Multiple Candidates (TK, TH, YO, FY), pp. 681–684.
ICDAR-1999-HeJLZ #documentation #image #retrieval: Content-based Index and Retrieval Method of Chinese Document Images (YH, ZJ, BL, HZ), pp. 685–688.
ICDAR-1999-Phillips #how #image #set: How to Extend and Bootstrap an Existing Data Set with Real-life Degraded Images (ITP), pp. 689–692.
ICDAR-1999-TakatsukaCWV #distributed #representation: Symbolic Representation and Distributed Matching Strategies for Schematics (MT, TC, GAWW, SV), pp. 693–696.
ICDAR-1999-MullerR #database: Searching an Engineering Drawing Database for User-specified Shapes (SM, GR), pp. 697–700.
ICDAR-1999-ArikiMT #detection: Telop and Flip Frame Detection and Character Extraction from TV News Articles (YA, KM, ST), pp. 701–704.
ICDAR-1999-MartiB #database #recognition: A Full English Sentence Database for Off-line Handwriting Recognition (UVM, HB), pp. 705–708.
ICDAR-1999-MurthyK #information management: Context Filters for Document-based Information Filtering (KRKM, SSK), pp. 709–712.
ICDAR-1999-JunkerDH #analysis #component #documentation #evaluation #on the #precise: On the Evaluation of Document Analysis Components by Recall, Precision, and Accuracy (MJ, AD, RH), pp. 713–716.
ICDAR-1999-OshitaniW #parallel #recognition: Parallel Map Recognition with Information Propagation Mechanism (TO, TW), pp. 717–720.
ICDAR-1999-JobbinsE #documentation #multi #using: Segmenting Documents using Multiple Lexical Features (ACJ, LJE), pp. 721–724.
ICDAR-1999-LuSWR #implementation #recognition #segmentation: An Implementation of Postal Numerals Segmentation and Recognition System for Chinese Business Letters (YL, PS, JW, JR), pp. 725–728.
ICDAR-1999-NicchiottiS #normalisation: Generalized Projections: A Tool for Cursive Handwriting Normalization (GN, CS), pp. 729–732.
ICDAR-1999-LeeL #automation #design #empirical #sorting #verification: Empirical Design of a Holistic Verifier for Automatic Sorting of Handwritten Singapore Postal Addresses (CKL, GL), pp. 733–736.
ICDAR-1999-XueDLPK: Destination Address Block Location on Handwritten Chinese Envelope (JX, XD, CL, SP, HK), pp. 737–740.
ICDAR-1999-SeniS #online #recognition: Forward Search with Discontinuous Probabilities for Online Handwriting Recognition (GS, JS), pp. 741–744.
ICDAR-1999-CheongKSK #recognition #string: Handwritten Numeral String Recognition with Stroke Grouping (CEC, HYK, JWS, HK), pp. 745–748.
ICDAR-1999-BruzzoneC #algorithm: An Algorithm for Extracting Cursive Text Lines (EB, MCC), pp. 749–752.
ICDAR-1999-DingKMS #estimation #evaluation #word: Evaluation and Improvement of Slant Estimation for Handwritten Words (YD, FK, YM, MS), pp. 753–756.
ICDAR-1999-MizukamiMYY #using #verification: An Off-line Signature Verification System using an Extraction Displacement Function (YM, HM, MY, IY), pp. 757–760.
ICDAR-1999-NuijtG #probability #recognition #towards: A Probabilistic Model for Postcode Recognition: A First Step towards Probabilistic Address Interpretation (MRN, EvG), pp. 761–764.
ICDAR-1999-NosaryHPL #adaptation #invariant #recognition: Defining Writer’s Invariants to Adapt the Recognition Task (AN, LH, TP, YL), pp. 765–768.
ICDAR-1999-WangT #documentation #image #recognition: A New Method of Character Line Extraction from Mixed-unformatted Document Image for Japanese Mail Address Recognition (XW, TT), pp. 769–772.
ICDAR-1999-BippusM #2d #recognition #reduction #using: Script Recognition using Inhomogeneous P2DHMM and Hierarchical Search Space Reduction (RDB, VM), pp. 773–776.
ICDAR-1999-GrandidierSYGS #recognition #word: Influence of Word Length on Handwriting Recognition (FG, RS, MAEY, MG, CYS), pp. 777–780.
ICDAR-1999-DehkordiSW #approach #classification #component #word: A Principal Component Approach to Classification of Handwritten Words (MED, NS, RJW), pp. 781–784.
ICDAR-1999-FangWLTKTW #approach #verification: A Smoothness Index based Approach for Off-line Signature Verification (BF, YYW, CHL, YYT, PCKK, KWT, YKW), pp. 785–787.
ICDAR-1999-ZhuSW #algorithm #fourier #image: A New Distinguishing Algorithm of Connected Character Image based on Fourier Transform (XZ, YS, SW), pp. 788–791.
ICDAR-1999-VuoriLOK #adaptation #online #recognition: On-line Adaptation in Recognition of Handwritten Alphanumeric Characters (VV, JL, EO, JK), pp. 792–795.
ICDAR-1999-LaaksonenAOK #adaptation #online #recognition: Dynamically Expanding Context as Committee Adaptation Method in On-Line Recognition of Handwritten Latin Characters (JL, MA, EO, JK), pp. 796–799.
ICDAR-1999-WangGS #multi #recognition #string: Multi-experts for Touching Digit String Recognition (XW, VG, SNS), pp. 800–803.
ICDAR-1999-StefanoCM #algorithm #recognition: Handwritten Numeral Recognition by means of Evolutionary Algorithms (CDS, ADC, AM), pp. 804–807.
ICDAR-1999-HebertPG #detection #incremental #learning #using: Cursive Character Detection using Incremental Learning (JFH, MP, NG), pp. 808–811.

Proceedings of the Fifth International Conference on Document Analysis and RecognitionICDAR, 1999.

Contents (200 items)

Proceedings of the Fifth International Conference on Document Analysis and Recognition
ICDAR, 1999.