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Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 502)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
About this book
Optical Character Recognition: An Illustrated Guide to the Frontier will pique the interest of users and developers of OCR products and desktop scanners, as well as teachers and students of pattern recognition, artificial intelligence, and information retrieval. The first chapter compares the character recognition abilities of humans and computers. The next four chapters present 280 illustrated examples of recognition errors, in a taxonomy consisting of Imaging Defects, Similar Symbols, Punctuation, and Typography. These examples were drawn from large-scale tests conducted by the authors. The final chapter discusses possible approaches for improving the accuracy of today's systems, and is followed by an annotated bibliography.
Optical Character Recognition: An Illustrated Guide to the Frontier is suitable as a secondary text for a graduate level course on pattern recognition, artificial intelligence, and information retrieval, and as a reference for researchers and practitioners in industry.
Authors and Affiliations
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Comparisonics Corporation, USA
Stephen V. Rice
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Rensselaer Polytechnic Institute, USA
George Nagy
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University of Nevada, Las Vegas, USA
Thomas A. Nartker
Bibliographic Information
Book Title: Optical Character Recognition
Book Subtitle: An Illustrated Guide to the Frontier
Authors: Stephen V. Rice, George Nagy, Thomas A. Nartker
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4615-5021-1
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Kluwer Academic Publishers 1999
Hardcover ISBN: 978-0-7923-8492-2Published: 31 May 1999
Softcover ISBN: 978-1-4613-7281-3Published: 27 January 2013
eBook ISBN: 978-1-4615-5021-1Published: 06 December 2012
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: VII, 196
Topics: Artificial Intelligence, Computer Imaging, Vision, Pattern Recognition and Graphics, Software Engineering/Programming and Operating Systems, Information Storage and Retrieval