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Fingerprint Verification: A Fingerprint Verification Algorithm Using the Smallest Minimum Sum of Closest Euclidean Distance - Softcover
Synopsis
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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About the Author
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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- PublisherLAP LAMBERT Academic Publishing
- Publication date2009
- ISBN 10 3838318714
- ISBN 13 9783838318714
- BindingPaperback
- LanguageEnglish
- Number of pages76
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Fingerprint Verification: A Fingerprint Verification Algorithm Using the Smallest Minimum Sum of Closest Euclidean Distance
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LAP Lambert Academic Publishing, 2009
ISBN 10: 3838318714
ISBN 13: 9783838318714
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Seller: Versandbuchhandlung Kisch & Co., Fürstenberg OT Blumenow, Germany
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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. Seller Inventory # 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. 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. Seller Inventory # 9783838318714
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Fingerprint Verification
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Fingerprint Verification : A Fingerprint Verification Algorithm Using the Smallest Minimum Sum of Closest Euclidean Distance
Published by
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ISBN 10: 3838318714
ISBN 13: 9783838318714
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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. Seller Inventory # 9783838318714
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Fingerprint Verification
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ISBN 10: 3838318714
ISBN 13: 9783838318714
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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. Seller Inventory # 131692219
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Fingerprint Verification
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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. Seller Inventory # 5412543
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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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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: 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. Seller Inventory # 9783838318714
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