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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Graphics, Maps, and Technical Drawings
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- Dominique Antoine, Suzanne Collin, Karl Tombre
Pages 385-402
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Music Notation
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Front Matter
Pages 403-403
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- Dorothea Blostein, Henry S. Baird
Pages 405-434
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- Hirokazu Kato, Seiji Inokuchi
Pages 435-455
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- Nicholas P. Carter, Richard A. Bacon
Pages 456-465
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- Takebumi Itagaki, Masayuki Isogai, Shuji Hashimoto, Sadamu Ohteru
Pages 466-476
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Methodology
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Front Matter
Pages 477-477
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- Horst Bunke, Bernhard Haller
Pages 500-519
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- David B. Searls, Suzanne Liebowitz Taylor
Pages 520-545
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IAPR 1990 Workshop on SSPR
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Front Matter
Pages 557-557
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- Henry S. Baird, Lawrence O’Gorman
Pages 559-561
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- Junichi Kanai, Andreas Dengel
Pages 562-564
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- Thomas Bayer, Jonathan Hull, George Nagy
Pages 565-567
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- Patrick S. P. Wang, Dov Dori
Pages 568-569
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- Eric Saund, Steven H. Joseph
Pages 570-572
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- Dorothea Blostein, Nicholas P. Carter
Pages 573-574
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