Handwriting Recognition: Soft Computing and Probabilistic Approaches: 133 (Studies in Fuzziness and Soft Computing, 133) - Hardcover
Synopsis
This book takes a fresh look at the problem of unconstrained handwriting recognition and introduces the reader to new techniques for the recognition of written words and characters using statistical and soft computing approaches. The types of uncertainties and variations present in handwriting data are discussed in detail. The book presents several algorithms that use modified hidden Markov models and Markov random field models to simulate the handwriting data statistically and structurally in a single framework. The book explores methods that use fuzzy logic and fuzzy sets for handwriting recognition. The effectiveness of these techniques is demonstrated through extensive experimental results and real handwritten characters and words.
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Synopsis
This book takes a fresh look at the problem of unconstrained handwriting recognition and introduces the reader to new techniques for the recognition of written words and characters using statistical and soft computing approaches. The types of uncertainties and variations present in handwriting data are discussed in detail. The book presents several algorithms that use modified hidden Markov models and Markov random field models to simulate the handwriting data statistically and structurally in a single framework. The book explores methods that use fuzzy logic and fuzzy sets for handwriting recognition. The effectiveness of these techniques is demonstrated through extensive experimental results and real handwritten characters and words.
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Handwriting Recognition: Soft Computing and Probabilistic Approaches (Studies in Fuzziness and Soft Computing, 133)
Seller: Lavendier Books, Foster, RI, U.S.A.
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hardcover. Condition: Very Good. Springer Verlag; Berlin, 2003. Hardcover. A Very Good, binding sturdy and intact, some handling/scuff marks to boards, small dent bottom front board edge, slightly cocked, few small nicks top text block edge, without Dust wrapper. A nice, clean and unmarked copy. 8vo[octavo or approx. 6 x 9 inches], 230pp., indexed. We pack securely and ship daily with delivery confirmation on every book. The picture on the listing page is of the actual book for sale. Additional Scan(s) are available for any item, please inquire.Please note: Oversized books/sets MAY require additional postage then what is quoted for 2.2lb book. Seller Inventory # SKU1037208
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Handwriting Recognition: Soft Computing and Probabilistic Approaches (Studies in Fuzziness and Soft Computing, 133)
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Handwriting Recognition: Soft Computing and Probabilistic Approaches (Studies in Fuzziness and Soft Computing, 133)
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Handwriting Recognition
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Springer Berlin Heidelberg Jul 2003, 2003
ISBN 10: 3540401776
ISBN 13: 9783540401773
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Over the last few decades, research on handwriting recognition has made impressive progress. The research and development on handwritten word recognition are to a large degree motivated by many application areas, such as automated postal address and code reading, data acquisition in banks, text-voice conversion, security, etc. As the prices of scanners, com puters and handwriting-input devices are falling steadily, we have seen an increased demand for handwriting recognition systems and software pack ages. Some commercial handwriting recognition systems are now available in the market. Current commercial systems have an impressive performance in recognizing machine-printed characters and neatly written texts. For in stance, High-Tech Solutions in Israel has developed several products for container ID recognition, car license plate recognition and package label recognition. Xerox in the U. S. has developed TextBridge for converting hardcopy documents into electronic document files. In spite of the impressive progress, there is still a significant perfor mance gap between the human and the machine in recognizing off-line unconstrained handwritten characters and words. The difficulties encoun tered in recognizing unconstrained handwritings are mainly caused by huge variations in writing styles and the overlapping and the interconnection of neighboring characters. Furthermore, many applications demand very high recognition accuracy and reliability. For example, in the banking sector, although automated teller machines (ATMs) and networked banking sys tems are now widely available, many transactions are still carried out in the form of cheques. 252 pp. Englisch. Seller Inventory # 9783540401773
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Handwriting Recognition
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ISBN 10: 3540401776
ISBN 13: 9783540401773
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A fresh look at the problem of unconstrained handwriting recognition from the soft computing viewpointOver the last few decades, research on handwriting recognition has made impressive progress. The research and development on handwritten word re. Seller Inventory # 4888620
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Handwriting Recognition
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Handwriting Recognition
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Handwriting Recognition
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Handwriting Recognition | Soft Computing and Probabilistic Approaches
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Buch. Condition: Neu. Handwriting Recognition | Soft Computing and Probabilistic Approaches | Zhi-Qiang Liu (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2003 | Springer Berlin | EAN 9783540401773 | Verantwortliche Person für die EU: Springer Heidelberg, Tiergartenstr. 17, 69121 Heidelberg, buchhandel-buch[at]springer[dot]com | Anbieter: preigu Print on Demand. Seller Inventory # 102528486
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Handwriting Recognition
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Jul 2003, 2003
ISBN 10: 3540401776
ISBN 13: 9783540401773
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Over the last few decades, research on handwriting recognition has made impressive progress. The research and development on handwritten word recognition are to a large degree motivated by many application areas, such as automated postal address and code reading, data acquisition in banks, text-voice conversion, security, etc. As the prices of scanners, com puters and handwriting-input devices are falling steadily, we have seen an increased demand for handwriting recognition systems and software pack ages. Some commercial handwriting recognition systems are now available in the market. Current commercial systems have an impressive performance in recognizing machine-printed characters and neatly written texts. For in stance, High-Tech Solutions in Israel has developed several products for container ID recognition, car license plate recognition and package label recognition. Xerox in the U. S. has developed TextBridge for converting hardcopy documents into electronic document files. In spite of the impressive progress, there is still a significant perfor mance gap between the human and the machine in recognizing off-line unconstrained handwritten characters and words. The difficulties encoun tered in recognizing unconstrained handwritings are mainly caused by huge variations in writing styles and the overlapping and the interconnection of neighboring characters. Furthermore, many applications demand very high recognition accuracy and reliability. For example, in the banking sector, although automated teller machines (ATMs) and networked banking sys tems are now widely available, many transactions are still carried out in the form of cheques.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 252 pp. Englisch. Seller Inventory # 9783540401773