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Structured Document Image Analysis

  • Book
  • © 1992

Overview

Editors:
  1. Henry S. Baird

    1. Computing Science Research Center, AT&T Bell Laboratories, Murray Hill, USA

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  2. Horst Bunke

    1. Institut für Informatik und angewandte Mathematik, Universität Bern, Bern, Switzerland

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  3. Kazuhiko Yamamoto

    1. Machine Understanding Division, Electrotechnical Laboratory, Tsukuba Science City Ibaraki, Japan

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Table of contents (33 chapters)

  1. Front Matter

    Pages I-XI
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  2. Printed Documents

    1. Front Matter

      Pages 1-1
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    2. Towards the Understanding of Printed Documents

      • Thomas Bayer, Jürgen Franke, Ulrich Kressel, Eberhard Mandler, Matthias Oberländer, Jürgen Schürmann
      Pages 3-35

    3. An Experimental Implementation of a Document Recognition System for Papers Containing Mathematical Expressions

      • Masayuki Okamoto, Akira Miyazawa
      Pages 36-53

    4. Towards a Structured-Document-Image Utility

      • George Nagy
      Pages 54-69

    5. ANASTASIL: A System for Low-Level and High-Level Geometric Analysis of Printed Documents

      • Andreas Dengel
      Pages 70-98

    6. A Top-Down Approach to the Analysis of Document Images

      • Hiromichi Fujisawa, Yasuaki Nakano
      Pages 99-114

    7. Analysis of Scanned Documents — a Syntactic Approach

      • Mahesh Viswanathan
      Pages 115-136

  3. Character and Symbol Recognition

    1. Front Matter

      Pages 137-137
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    2. Structural Analysis and Description of Curves by Quasi-Topological Features and Singular Points

      • Hirobumi Nishida, Shunji Mori
      Pages 139-187

    3. Combination of Decisions by Multiple Classifiers

      • Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari
      Pages 188-202

    4. Resolving Ambiguity in Segmenting Touching Characters

      • Shuichi Tsujimoto, Haruo Asada
      Pages 203-215

  4. Handwriting

    1. Front Matter

      Pages 217-217
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    2. Off-line Identification With Handwritten Signature Images: Survey and Perspectives

      • Robert Sabourin, Réjean Plamondon, Guy Lorette
      Pages 219-234

    3. Difficult Cases in Handwritten Numeral Recognition

      • Raymond Legault, Ching Y. Suen, Christine Nadal
      Pages 235-249

    4. Recognition of Hand-Printed Chinese Characters and the Japanese Cursive Syllabary

      • Kazuhiko Yamamoto, Hiromitsu Yamada
      Pages 250-260

    5. Regularities and Singularities in Line Pictures

      • Jean-Claude Simon, Olivier Baret
      Pages 261-281

  5. Graphics, Maps, and Technical Drawings

    1. Front Matter

      Pages 283-283
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    2. An Overview of Techniques for Graphics Recognition

      • Rangachar Kasturi, Rajesh Raman, Chakravarthy Chennubhotla, Lawrence O’Gorman
      Pages 285-324

    3. High Quality Vectorization Based on a Generic Object Model

      • Osamu Hori, Akio Okazaki
      Pages 325-339
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Keywords

About this book

Document image analysis is the automatic computer interpretation of images of printed and handwritten documents, including text, drawings, maps, music scores, etc. Research in this field supports a rapidly growing international industry. This is the first book to offer a broad selection of state-of-the-art research papers, including authoritative critical surveys of the literature, and parallel studies of the architectureof complete high-performance printed-document reading systems. A unique feature is the extended section on music notation, an ideal vehicle for international sharing of basic research. Also, the collection includes important new work on line drawings, handwriting, character and symbol recognition, and basic methodological issues. The IAPR 1990 Workshop on Syntactic and Structural Pattern Recognition is summarized,including the reports of its expert working groups, whose debates provide a fascinating perspective on the field. The book is an excellent text for a first-year graduate seminar in document image analysis,and is likely to remain a standard reference in the field for years.

Editors and Affiliations

  • Computing Science Research Center, AT&T Bell Laboratories, Murray Hill, USA

    Henry S. Baird

  • Institut für Informatik und angewandte Mathematik, Universität Bern, Bern, Switzerland

    Horst Bunke

  • Machine Understanding Division, Electrotechnical Laboratory, Tsukuba Science City Ibaraki, Japan

    Kazuhiko Yamamoto

Bibliographic Information

  • Book Title: Structured Document Image Analysis

  • Editors: Henry S. Baird, Horst Bunke, Kazuhiko Yamamoto

  • DOI: https://doi.org/10.1007/978-3-642-77281-8

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1992

  • Softcover ISBN: 978-3-642-77283-2Published: 16 December 2011

  • eBook ISBN: 978-3-642-77281-8Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: XI, 582

  • Topics: Pattern Recognition, Computer-Aided Engineering (CAD, CAE) and Design

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