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.

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Bibliographic Details

Title: Fingerprint Verification: A Fingerprint Verification Algorithm Using the Smallest Minimum Sum of Closest Euclidean Distance
Publisher: LAP Lambert Academic Publishing
Publication Date: 2009
Language: English
ISBN 10: 3838318714
ISBN 13: 9783838318714
Binding: Taschenbuch
Condition: Neu
Dimensions: 220 millimeters width by 150 millimeters height by 5 millimeters depth
Weight: 131 grams

About this title

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.

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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