Optical Character Recognition: An Illustrated Guide to the Frontier
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 OC...
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| Main Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boston, MA
Springer US
1999
|
| Series: | The Springer International Series in Engineering and Computer Science
502 |
| Subjects: | |
| Online Access: | BTU01 Volltext |
| Summary: | 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 explaining actual OCR errors. The pictures and analysis provide insight into the strengths 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 |
| Physical Description: | 1 Online-Ressource (VII, 196 p) |
| ISBN: | 9781461550211 |
| DOI: | 10.1007/978-1-4615-5021-1 |
Staff View
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| 520 | |a 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 explaining actual OCR errors. The pictures and analysis provide insight into the strengths 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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| spelling | Rice, Stephen V. Verfasser aut Optical Character Recognition An Illustrated Guide to the Frontier by Stephen V. Rice, George Nagy, Thomas A. Nartker Boston, MA Springer US 1999 1 Online-Ressource (VII, 196 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science 502 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 explaining actual OCR errors. The pictures and analysis provide insight into the strengths 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 Computer Science Artificial Intelligence (incl. Robotics) Computer Imaging, Vision, Pattern Recognition and Graphics Software Engineering/Programming and Operating Systems Information Storage and Retrieval Computer science Software engineering Information storage and retrieval Artificial intelligence Computer graphics Optische Zeichenerkennung (DE-588)4310936-6 gnd rswk-swf Optische Zeichenerkennung (DE-588)4310936-6 s 1\p DE-604 Nagy, George aut Nartker, Thomas A. aut Erscheint auch als Druck-Ausgabe 9781461372813 https://doi.org/10.1007/978-1-4615-5021-1 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Rice, Stephen V. Nagy, George Nartker, Thomas A. Optical Character Recognition An Illustrated Guide to the Frontier Computer Science Artificial Intelligence (incl. Robotics) Computer Imaging, Vision, Pattern Recognition and Graphics Software Engineering/Programming and Operating Systems Information Storage and Retrieval Computer science Software engineering Information storage and retrieval Artificial intelligence Computer graphics Optische Zeichenerkennung (DE-588)4310936-6 gnd |
| subject_GND | (DE-588)4310936-6 |
| title | Optical Character Recognition An Illustrated Guide to the Frontier |
| title_auth | Optical Character Recognition An Illustrated Guide to the Frontier |
| title_exact_search | Optical Character Recognition An Illustrated Guide to the Frontier |
| title_full | Optical Character Recognition An Illustrated Guide to the Frontier by Stephen V. Rice, George Nagy, Thomas A. Nartker |
| title_fullStr | Optical Character Recognition An Illustrated Guide to the Frontier by Stephen V. Rice, George Nagy, Thomas A. Nartker |
| title_full_unstemmed | Optical Character Recognition An Illustrated Guide to the Frontier by Stephen V. Rice, George Nagy, Thomas A. Nartker |
| title_short | Optical Character Recognition |
| title_sort | optical character recognition an illustrated guide to the frontier |
| title_sub | An Illustrated Guide to the Frontier |
| topic | Computer Science Artificial Intelligence (incl. Robotics) Computer Imaging, Vision, Pattern Recognition and Graphics Software Engineering/Programming and Operating Systems Information Storage and Retrieval Computer science Software engineering Information storage and retrieval Artificial intelligence Computer graphics Optische Zeichenerkennung (DE-588)4310936-6 gnd |
| topic_facet | Computer Science Artificial Intelligence (incl. Robotics) Computer Imaging, Vision, Pattern Recognition and Graphics Software Engineering/Programming and Operating Systems Information Storage and Retrieval Computer science Software engineering Information storage and retrieval Artificial intelligence Computer graphics Optische Zeichenerkennung |
| url | https://doi.org/10.1007/978-1-4615-5021-1 |
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