Optical Character Recognition: An Illustrated Guide to the Frontier (The Springer International Series in Engineering and Computer Science) |  | Authors: Stephen V. Rice, George Nagy, Thomas A. Nartker Publisher: Springer Category: Book
List Price: $169.00 Buy New: $119.00 You Save: $50.00 (30%)
New (2) Used (4) from $111.75
Sales Rank: 863042
Media: Hardcover Edition: 1st Number Of Items: 1 Pages: 208 Shipping Weight (lbs): 1.3 Dimensions (in): 10.2 x 7.2 x 0.7
ISBN: 079238492X Dewey Decimal Number: 006.424 EAN: 9780792384922 ASIN: 079238492X
Publication Date: May 31, 1999 Availability: Usually ships in 1-2 business days
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| Editorial Reviews:
Product Description Optical character recognition (OCR) is the most prominent and successful example of pattern recognition to date. There are thousands of research papers and dozens of OCR products. Optical Character Rcognition: An Illustrated Guide to the Frontier offers a perspective on the performance of current OCR systems by illustrating and explaing actual OCR errors. The pictures and analysis provide insight into the strenghths and weaknesses of current OCR systems, and a road map to future progress. 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.
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