Fingerprint Verification: A Fingerprint Verification Algorithm Using the Smallest Minimum Sum of Closest Euclidean Distance - Brossura
Sinossi
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.
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L'autore
Ujjal Kumar Bhowmik received his Master of Science in the Department of Electrical and Computer engineering to The School of Graduate Studies at The University of Alabama in Huntsville in the year of 2009
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Fingerprint Verification: A Fingerprint Verification Algorithm Using the Smallest Minimum Sum of Closest Euclidean Distance
Editore:
LAP Lambert Academic Publishing, 2009
ISBN 10: 3838318714
ISBN 13: 9783838318714
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Da: Versandbuchhandlung Kisch & Co., Fürstenberg OT Blumenow, Germania
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Taschenbuch. Condizione: 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. Codice articolo INF1100263803
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Fingerprint Verification: A Fingerprint Verification Algorithm Using the Smallest Minimum Sum of Closest Euclidean Distance
Editore:
LAP Lambert Academic Publishing, 2009
ISBN 10: 3838318714
ISBN 13: 9783838318714
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Da: Che & Chandler Versandbuchhandlung, Fürstenberg OT Blumenow, Germania
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Taschenbuch. Condizione: 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. Codice articolo INF1100263803
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Fingerprint Verification
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LAP LAMBERT Academic Publishing Okt 2009, 2009
ISBN 10: 3838318714
ISBN 13: 9783838318714
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Taschenbuch. Condizione: 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. Codice articolo 9783838318714
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Fingerprint Verification
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2009
ISBN 10: 3838318714
ISBN 13: 9783838318714
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Condizione: New. pp. 76. Codice articolo 26128895332
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Fingerprint Verification
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2009
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ISBN 13: 9783838318714
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Condizione: 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. Codice articolo 131692219
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Fingerprint Verification
Editore:
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2009
ISBN 10: 3838318714
ISBN 13: 9783838318714
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Condizione: New. PRINT ON DEMAND pp. 76. Codice articolo 18128895342
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Fingerprint Verification
Editore:
LAP Lambert Academic Publishing, 2009
ISBN 10: 3838318714
ISBN 13: 9783838318714
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Da: 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. 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. Codice articolo 5412543
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Fingerprint Verification
Editore:
LAP LAMBERT Academic Publishing Okt 2009, 2009
ISBN 10: 3838318714
ISBN 13: 9783838318714
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Taschenbuch. Condizione: Neu. 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch. Codice articolo 9783838318714
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Fingerprint Verification : A Fingerprint Verification Algorithm Using the Smallest Minimum Sum of Closest Euclidean Distance
Editore:
LAP LAMBERT Academic Publishing, 2009
ISBN 10: 3838318714
ISBN 13: 9783838318714
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9783838318714
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Fingerprint Verification | A Fingerprint Verification Algorithm Using the Smallest Minimum Sum of Closest Euclidean Distance
Editore:
LAP LAMBERT Academic Publishing, 2009
ISBN 10: 3838318714
ISBN 13: 9783838318714
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Da: preigu, Osnabrück, Germania
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Taschenbuch. Condizione: 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. Codice articolo 101444650
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