Fingerprint Verification: A Fingerprint Verification Algorithm Using the Smallest Minimum Sum of Closest Euclidean Distance

Ujjal Kumar Bhowmik

ISBN 10: 3838318714 / ISBN 13: 9783838318714

Verlag: LAP Lambert Academic Publishing, 2009

Beschreibung

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.

Bestandsnummer des Verkäufers INF1100263803

Bibliografische Details

• Titel: Fingerprint Verification: A Fingerprint Verification Algorithm Using the Smallest Minimum Sum of Closest Euclidean Distance
• Verlag: LAP Lambert Academic Publishing
• Erscheinungsjahr: 2009
• Sprache: Englisch
• ISBN-10: 3838318714
• ISBN-13: 9783838318714
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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.