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Fingerprint verification algorithm using de bhowmik ujjal (4 resultados)

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  • Idioma: Inglés

    Editorial: LAP Lambert Academic Publishing, 2009

    3838318714 / 9783838318714

    • Tapa blanda

    Librería: Versandbuchhandlung Kisch & Co., Fürstenberg OT Blumenow, AlemaniaVersandbuchhandlung Kisch & Co.

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    Condición: Nuevo

    EUR 3,95

    Envío por EUR 26,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 2 disponibles

    Taschenbuch. Condición: Neu. Neu Neuware; original eingeschweisst; Rechnung mit MwSt.; new item, still sealed; -In this book, a Euclidean distance based minutia matching algorithm is proposed to improve the matching accuracy in fingerprint verification system. This algorithm extracts matched minutia pairs from input and template fingerprints by using the smallest minimum sum of closest Euclidean distance (SMSCED), corresponding rotation angle and empirically chosen statistical threshold values. Instead of using the minutia type and orientation angle, which are widely employed in existing algorithms, the proposed algorithm uses only the minutia location, to reduce the effect of non-linear distortion. Experimental results show that the proposed method has higher accuracy with improved verification rate and rejection rate. 76 pp. Englisch.…

  • Idioma: Inglés

    Editorial: LAP Lambert Academic Publishing, 2009

    3838318714 / 9783838318714

    • Tapa blanda

    Librería: Che & Chandler Versandbuchhandlung, Fürstenberg OT Blumenow, AlemaniaChe & Chandler Versandbuchhandlung

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    Condición: Nuevo

    EUR 3,95

    Envío por EUR 45,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 2 disponibles

    Taschenbuch. Condición: Neu. Neu Neuware; original eingeschweisst; Rechnung mit MwSt.; new item, still sealed; -In this book, a Euclidean distance based minutia matching algorithm is proposed to improve the matching accuracy in fingerprint verification system. This algorithm extracts matched minutia pairs from input and template fingerprints by using the smallest minimum sum of closest Euclidean distance (SMSCED), corresponding rotation angle and empirically chosen statistical threshold values. Instead of using the minutia type and orientation angle, which are widely employed in existing algorithms, the proposed algorithm uses only the minutia location, to reduce the effect of non-linear distortion. Experimental results show that the proposed method has higher accuracy with improved verification rate and rejection rate. 76 pp. Englisch.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2009

    3838318714 / 9783838318714

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    Condición: Nuevo

    EUR 43,40

    Envío por EUR 70,00 
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    Cantidad disponible: 5 disponibles

    Taschenbuch. Condición: Neu. Fingerprint Verification | A Fingerprint Verification Algorithm Using the Smallest Minimum Sum of Closest Euclidean Distance | Ujjal Kumar Bhowmik | Taschenbuch | 76 S. | Englisch | 2009 | LAP LAMBERT Academic Publishing | EAN 9783838318714 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2009

    3838318714 / 9783838318714

    • Tapa blanda
    • Impresión bajo demanda

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

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 49,00

    Envío por EUR 35,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, a Euclidean distance based minutia matching algorithm is proposed to improve the matching accuracy in fingerprint verification system. This algorithm extracts matched minutia pairs from input and template fingerprints by using the smallest minimum sum of closest Euclidean distance (SMSCED), corresponding rotation angle and empirically chosen statistical threshold values. Instead of using the minutia type and orientation angle, which are widely employed in existing algorithms, the proposed algorithm uses only the minutia location, to reduce the effect of non-linear distortion. Experimental results show that the proposed method has higher accuracy with improved verification rate and rejection rate.…