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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.
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Contenuti
Introduction.- Pre-processing and Feature Extraction.- Hidden Markov Model-Based Method for Recognizing Handwritten Digits.- Markov Models with Spectral Features for Handwritten Numeral Recognition.- Markov Random Field Model for Recognizing Handwritten Digits.- Markov Random Field Models for Recognizing Handwritten Words.- A Structural and Relational Approach to Handwritten Word Recognition.- Handwritten Word Recognition Using Fuzzy Logic.- Conclusion.
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Handwriting Recognition: Soft Computing and Probabilistic Approaches (Studies in Fuzziness and Soft Computing, 133)
Da: Lavendier Books, Foster, RI, U.S.A.
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hardcover. Condizione: 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. Codice articolo SKU1037208
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Handwriting Recognition : Soft Computing and Probabilistic Approaches
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Handwriting Recognition (Hardcover)
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Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2003
ISBN 10: 3540401776
ISBN 13: 9783540401773
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Hardcover. Condizione: new. Hardcover. 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. Over the last few decades, research on handwriting recognition has made impressive progress. For in stance, High-Tech Solutions in Israel has developed several products for container ID recognition, car license plate recognition and package label recognition. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9783540401773
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Handwriting Recognition: Soft Computing and Probabilistic Approaches (Studies in Fuzziness and Soft Computing, 133)
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Condizione: New. Codice articolo ABLIING23Mar3113020166076
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Handwriting Recognition: Soft Computing and Probabilistic Approaches (Studies in Fuzziness and Soft Computing, 133)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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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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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Buch. Condizione: 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. Codice articolo 9783540401773
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Handwriting Recognition
Print on DemandDa: moluna, Greven, Germania
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Condizione: 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. Codice articolo 4888620
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Handwriting Recognition
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. 252. Codice articolo 263090984
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Handwriting Recognition
Print on DemandDa: Majestic Books, Hounslow, Regno Unito
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Condizione: New. Print on Demand pp. 252 Illus. Codice articolo 5805559
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Handwriting Recognition
Print on DemandDa: Biblios, Frankfurt am main, HESSE, Germania
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Condizione: New. PRINT ON DEMAND pp. 252. Codice articolo 183090978
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