文獻(xiàn)分析系統(tǒng)V/會(huì)議錄Document analysis systems V

出版時(shí)間:2002-12  出版社:1 (2002年10月1日)  作者:Daniel Lopresti  頁(yè)數(shù):570  

內(nèi)容概要

This book constitutes the refereed proceedings of the 5th International Workshop on Document Analysis Systems, DAS 2002, held in Princeton, NJ, USA in August 2002 with sponsorship from IAPR.    The 44 revised full papers presented together with 14 short papers were carefuly reviwed and selected for inclusion in the book. All current issues in document analysis systems are adressed. The papers are organized in topical sections on OCR features and systems, handwriting recognition, layout analysis, classifiers and learning, tables and forms, text extraction, indexing and retrieval, document engineering, and new applications.

書(shū)籍目錄

OCR Features and Systems Relating Statistical Image Differences and Degradation Features Script Identification in Printed Bilingual Documents Optimal Feature Extraction for Bilingual OCR Machine Recognition of Printed Kannada Text An Integrated System for the Analysis and the Recognition of Characters in Ancient Documents A Complete Tamil Optical Character Recognition System Distinguishing between Handwritten and Machine Printed Text in Bank Cheque Images Multi-expert Seal Imprint Verification System for Bankcheck Processing Automatic Reading of Traffic TicketsHandwriting Recognition A Stochastic Model Combining Discrete Symbols and Continuous Top-Down Likelihood Word Image Generation Model for Holistic Word Recognition The Segmentation and Identification of Handwriting in Noisy Document Images The Impact of Large Training Sets on the Recognition Rate of Offline Japanese Kanji Character Classifiers Automatic Completion of Korean Words for Open Vocabulary Pen Interface Using Stroke-Number-Characteristics for Improving Efficiency of Combined Online and O~ine Japanese Character Classifiers Closing Gaps of Discontinuous Lines: A New Criterion for Choosing the Best ProlongationClassifiers and Leaning Classifier Adaptation with Non-representative Training Data A Learning Pseudo Bayes Discriminant Method Based on Difference Distribution of Feature Vectors Increasing the Number of Classifiers in Multi-classifier Systems: A Complementarity-Based Analysis Discovering Rules for Dynamic Configuration of Multi-classifier Systems Multiple Classifier Combination for Character Recognition: Revisiting the Majority Voting System and Its Variations Layout Analysis Correcting for Variable Skew Two Geometric Algorithms for Layout Analysis1Tables and FormsText ExtractionIndexing and RetrievalDocument EngineeringNew ApplicationsAuthor Index

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