Overview
- Editors:
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Henry S. Baird
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Computing Science Research Center, AT&T Bell Laboratories, Murray Hill, USA
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Horst Bunke
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Institut für Informatik und angewandte Mathematik, Universität Bern, Bern, Switzerland
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Kazuhiko Yamamoto
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Machine Understanding Division, Electrotechnical Laboratory, Tsukuba Science City Ibaraki, Japan
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Table of contents (33 chapters)
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Printed Documents
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- Thomas Bayer, Jürgen Franke, Ulrich Kressel, Eberhard Mandler, Matthias Oberländer, Jürgen Schürmann
Pages 3-35
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- Masayuki Okamoto, Akira Miyazawa
Pages 36-53
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- Hiromichi Fujisawa, Yasuaki Nakano
Pages 99-114
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Character and Symbol Recognition
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Front Matter
Pages 137-137
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- Hirobumi Nishida, Shunji Mori
Pages 139-187
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- Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari
Pages 188-202
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- Shuichi Tsujimoto, Haruo Asada
Pages 203-215
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Handwriting
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Front Matter
Pages 217-217
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- Robert Sabourin, Réjean Plamondon, Guy Lorette
Pages 219-234
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- Raymond Legault, Ching Y. Suen, Christine Nadal
Pages 235-249
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- Kazuhiko Yamamoto, Hiromitsu Yamada
Pages 250-260
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- Jean-Claude Simon, Olivier Baret
Pages 261-281
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Graphics, Maps, and Technical Drawings
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Front Matter
Pages 283-283
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- Rangachar Kasturi, Rajesh Raman, Chakravarthy Chennubhotla, Lawrence O’Gorman
Pages 285-324
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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
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Computing Science Research Center, AT&T Bell Laboratories, Murray Hill, USA
Henry S. Baird
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Institut für Informatik und angewandte Mathematik, Universität Bern, Bern, Switzerland
Horst Bunke
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Machine Understanding Division, Electrotechnical Laboratory, Tsukuba Science City Ibaraki, Japan
Kazuhiko Yamamoto