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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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.
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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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. Nº de ref. del artículo: INF1100263803
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783838318714
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Condición: 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. Nº de ref. del artículo: 5412543
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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. Nº de ref. del artículo: 9783838318714
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783838318714
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