Bhowmik Ujjal Kumar (10 results)

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    • Language: English

      Published by LAP Lambert Academic Publishing, 2009

      3838318714 / 9783838318714

      • Softcover

      Seller: Versandbuchhandlung Kisch & Co., Fürstenberg OT Blumenow, GermanyVersandbuchhandlung Kisch & Co.

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      Taschenbuch. Condition: 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.

    • Language: English

      Published by LAP Lambert Academic Publishing, 2009

      3838318714 / 9783838318714

      • Softcover

      Seller: Che & Chandler Versandbuchhandlung, Fürstenberg OT Blumenow, GermanyChe & Chandler Versandbuchhandlung

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      Taschenbuch. Condition: 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.

    • Language: English

      Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2009

      3838318714 / 9783838318714

      • Softcover

      Seller: Books Puddle, New York, NY, U.S.A.Books Puddle

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      Condition: New. pp. 76.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2009

      3838318714 / 9783838318714

      • Softcover

      Seller: preigu, Osnabrück, Germanypreigu

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      Taschenbuch. Condition: 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.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Okt 2009, 2009

      3838318714 / 9783838318714

      • Softcover
      • Print on Demand

      Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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.

    • Language: English

      Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2009

      3838318714 / 9783838318714

      • Softcover
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      Seller: Majestic Books, Hounslow, United KingdomMajestic Books

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      Condition: New. Print on Demand pp. 76 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

    • Language: English

      Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2009

      3838318714 / 9783838318714

      • Softcover
      • Print on Demand

      Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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      Condition: New. PRINT ON DEMAND pp. 76.

    • Language: English

      Published by LAP Lambert Academic Publishing, 2009

      3838318714 / 9783838318714

      • Softcover
      • Print on Demand

      Seller: moluna, Greven, Germanymoluna

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      Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 min.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Okt 2009, 2009

      3838318714 / 9783838318714

      • Softcover
      • Print on Demand

      Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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      Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2009

      3838318714 / 9783838318714

      • Softcover
      • Print on Demand

      Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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      Taschenbuch. Condition: 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.