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Document Analysis Systems V

5th International Workshop, DAS 2002, Princeton, NJ, USA, August 19-21, 2002. Proceedings

  • Conference proceedings
  • © 2002

Overview

Editors:
  1. Daniel Lopresti

    1. Bell Labs, Lucent Technologies, Murray Hill, USA

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  2. Jianying Hu

    1. Avaya Labs Research, Basking Ridge, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Ramanujan Kashi

    1. Avaya Labs Research, Basking Ridge, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2423)

Included in the following conference series:

Conference proceedings info: DAS 2002.

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Table of contents (58 papers)

  1. Front Matter

    Pages I-XIII
    Download chapter PDF

  2. OCR Features and Systems

    1. Relating Statistical Image Differences and Degradation Features

      • Elisa Barney Smith, Xiaohui Qiu
      Pages 1-12

    2. Script Identification in Printed Bilingual Documents

      • D. Dhanya, A. G. Ramakrishnan
      Pages 13-24

    3. Optimal Feature Extraction for Bilingual OCR

      • D. Dhanya, A. G. Ramakrishnan
      Pages 25-36

    4. Machine Recognition of Printed Kannada Text

      • B. Vijay Kumar, A. G. Ramakrishnan
      Pages 37-48

    5. An Integrated System for the Analysis and the Recognition of Characters in Ancient Documents

      • Stefano Vezzosi, Luigi Bedini, Anna Tonazzini
      Pages 49-52

    6. A Complete Tamil Optical Character Recognition System

      • K. G. Aparna, A. G. Ramakrishnan
      Pages 53-57

    7. Distinguishing between Handwritten and Machine Printed Text in Bank Cheque Images

      • José Eduardo Bastos Dos Santos, Bernard Dubuisson, Flávio Bortolozzi
      Pages 58-61

    8. Multi-expert Seal Imprint Verification System for Bankcheck Processing

      • Katsuhiko Ueda, Ken’ichi Matsuo
      Pages 62-65

    9. Automatic Reading of Traffic Tickets

      • Nabeel Murshed
      Pages 66-69

  3. Handwriting Recognition

    1. A Stochastic Model Combining Discrete Symbols and Continuous Attributes and Its Application to Handwriting Recognition

      • Hanhong Xue, Venu Govindaraju
      Pages 70-81

    2. Top-Down Likelihood Word Image Generation Model for Holistic Word Recognition

      • Eiki Ishidera, Simon M. Lucas, Andrew C. Downton
      Pages 82-94

    3. The Segmentation and Identification of Handwriting in Noisy Document Images

      • Yefeng Zheng, Huiping Li, David Doermann
      Pages 95-105

    4. The Impact of Large Training Sets on the Recognition Rate of Off-line Japanese Kanji Character Classifiers

      • Ondrej Velek, Masaki Nakagawa
      Pages 106-110

    5. Automatic Completion of Korean Words for Open Vocabulary Pen Interface

      • Sungho Ryu, Jin-Hyung Kim
      Pages 111-114

    6. Using Stroke-Number-Characteristics for Improving Efficiency of Combined Online and Offline Japanese Character Classifiers

      • Ondrej Velek, Masaki Nakagawa
      Pages 115-118

    7. Closing Gaps of Discontinuous Lines: A New Criterion for Choosing the Best Prolongation

      • Eugene Bodansky, Alexander Gribov
      Pages 119-122

  4. Classifiers and Leaning

    1. Classifier Adaptation with Non-representative Training Data

      • Sriharsha Veeramachaneni, George Nagy
      Pages 123-133

    2. A Learning Pseudo Bayes Discriminant Method Based on Difference Distribution of Feature Vectors

      • Hiroaki Takebe, Koji Kurokawa, Yutaka Katsuyama, Satoshi Naoi
      Pages 134-144

    3. Increasing the Number of Classifiers in Multi-classifier Systems: A Complementarity-Based Analysis

      • L. Bovino, G. Dimauro, S. Impedovo, G. Pirlo, A. Salzo
      Pages 145-156
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  1. Document Analysis Systems V

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Editors and Affiliations

  • Bell Labs, Lucent Technologies, Murray Hill, USA

    Daniel Lopresti

  • Avaya Labs Research, Basking Ridge, USA

    Jianying Hu, Ramanujan Kashi

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