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ICPR
2006
IEEE

Fingerprint Matching Method Using Minutiae Clustering and Warping

11 years 3 months ago
Fingerprint Matching Method Using Minutiae Clustering and Warping
Solving non-linear distortion problems in fingerprint matching is important and still remains as a challenging topic. We have developed a new fingerprint matching method to deal with non-linear distortion problems efficiently by clustering locally matched minutiae and warping the fingerprint surface using minutiae clusters. Specifically, local invariant structures encoding the neighborhood information of each minutia are utilized in clustering the matched minutiae and then the fingerprint surface is warped to describe the deformation pattern properly. Finally, to make an additional increase in performance, the overlapped region of two fingerprints is considered in the score computation stage. Experimental results show that the proposed algorithm is performed best compared with other ones.
Dongjin Kwon, Duck Hoon Kim, Il Dong Yun, Sang Uk
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2006
Where ICPR
Authors Dongjin Kwon, Duck Hoon Kim, Il Dong Yun, Sang Uk Lee
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