Isbn: 9783540401773 - handwriting recognition: soft computing and probabilistic approaches: 133 (studies in fuzziness and soft computing, 133) (15 resultados)

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  • Idioma: Inglés

    Editorial: Springer, 2003

    3540401776 / 9783540401773

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    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

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    Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections

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    3540401776 / 9783540401773

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  • Idioma: Inglés

    Editorial: Springer, 2003

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    Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle

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    Condición: New. pp. 252.

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    Editorial: Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2003

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

  • Idioma: Inglés

    Editorial: Springer, 2003

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    Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books

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    Hardcover. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Idioma: Inglés

    Editorial: Springer, 2003

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  • Idioma: Inglés

    Editorial: Springer Berlin Heidelberg Jul 2003, 2003

    3540401776 / 9783540401773

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Buch. Condición: 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.

  • Idioma: Inglés

    Editorial: Springer Berlin Heidelberg, 2003

    3540401776 / 9783540401773

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    Condición: 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.

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    Idioma: Inglés

    Editorial: Springer Berlin, 2003

    3540401776 / 9783540401773

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    Buch. Condición: 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.

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    Editorial: Springer Berlin Heidelberg, Springer Berlin Heidelberg Jul 2003, 2003

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Buch. Condición: 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.

  • Idioma: Inglés

    Editorial: Springer, 2003

    3540401776 / 9783540401773

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    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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    Condición: New. Print on Demand pp. 252 Illus.

  • Idioma: Inglés

    Editorial: Springer, 2003

    3540401776 / 9783540401773

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    Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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    Condición: New. PRINT ON DEMAND pp. 252.