Structured Document Image Analysis

  • Henry S. Baird
  • Horst Bunke
  • Kazuhiko Yamamoto

Table of contents

  1. Front Matter
    Pages I-XI
  2. Printed Documents

    1. Front Matter
      Pages 1-1
    2. Thomas Bayer, Jürgen Franke, Ulrich Kressel, Eberhard Mandler, Matthias Oberländer, Jürgen Schürmann
      Pages 3-35
    3. Hiromichi Fujisawa, Yasuaki Nakano
      Pages 99-114
  3. Character and Symbol Recognition

    1. Front Matter
      Pages 137-137
    2. Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari
      Pages 188-202
    3. Shuichi Tsujimoto, Haruo Asada
      Pages 203-215
  4. Handwriting

    1. Front Matter
      Pages 217-217
    2. Robert Sabourin, Réjean Plamondon, Guy Lorette
      Pages 219-234
    3. Raymond Legault, Ching Y. Suen, Christine Nadal
      Pages 235-249
    4. Jean-Claude Simon, Olivier Baret
      Pages 261-281
  5. Graphics, Maps, and Technical Drawings

    1. Front Matter
      Pages 283-283
    2. Rangachar Kasturi, Rajesh Raman, Chakravarthy Chennubhotla, Lawrence O’Gorman
      Pages 285-324
    3. Osamu Hori, Akio Okazaki
      Pages 325-339
    4. Dominique Antoine, Suzanne Collin, Karl Tombre
      Pages 385-402
  6. Music Notation

    1. Front Matter
      Pages 403-403
    2. Dorothea Blostein, Henry S. Baird
      Pages 405-434
    3. Nicholas P. Carter, Richard A. Bacon
      Pages 456-465
    4. Takebumi Itagaki, Masayuki Isogai, Shuji Hashimoto, Sadamu Ohteru
      Pages 466-476
  7. Methodology

    1. Front Matter
      Pages 477-477
    2. David B. Searls, Suzanne Liebowitz Taylor
      Pages 520-545
    3. Henry S. Baird
      Pages 546-556
  8. IAPR 1990 Workshop on SSPR

    1. Front Matter
      Pages 557-557
    2. Henry S. Baird, Lawrence O’Gorman
      Pages 559-561
    3. Junichi Kanai, Andreas Dengel
      Pages 562-564
    4. Thomas Bayer, Jonathan Hull, George Nagy
      Pages 565-567
    5. Eric Saund, Steven H. Joseph
      Pages 570-572
    6. Dorothea Blostein, Nicholas P. Carter
      Pages 573-574
    7. Rani Siromoney, Alberto Sanfeliu
      Pages 575-576
  9. Back Matter
    Pages 577-582

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.


Computersehen Document reading Music notation Mustererkennung Notenschrift architecture computer vision feature extraction handwriting image analysis model pattern pattern recognition structural pattern recognition syntactic pattern recognition

Editors and affiliations

  • Henry S. Baird
    • 1
  • Horst Bunke
    • 2
  • Kazuhiko Yamamoto
    • 3
  1. 1.Computing Science Research CenterAT&T Bell LaboratoriesMurray HillUSA
  2. 2.Institut für Informatik und angewandte MathematikUniversität BernBernSwitzerland
  3. 3.Machine Understanding DivisionElectrotechnical LaboratoryTsukuba Science City IbarakiJapan

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 1992
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-77283-2
  • Online ISBN 978-3-642-77281-8
  • Buy this book on publisher's site