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CONIELECOMP
2009
IEEE

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

12 years 11 days ago
A Fingerprint Verification Algorithm Using the Smallest Minimum Sum of Closest Euclidean Distance
In this paper, 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. Keywords  Smallest minimum sum of closest Euclidean distance ( ), Template fingerprint, Input fingerprint, Minutia matching, Automatic Fingerprint verification system (AFVS). SMSCED
Ujjal Kumar Bhowmik, Ashkan Ashrafi, Reza R. Adham
Added 20 May 2010
Updated 20 May 2010
Type Conference
Year 2009
Where CONIELECOMP
Authors Ujjal Kumar Bhowmik, Ashkan Ashrafi, Reza R. Adhami
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