Extraction of stable points from fingerprint images using zone could-be-in theorem

Authors:
Xuchu Wang;Jianwei Li;Yanmin Niu;Weimin Chen;Wei Wang
Affiliations:
Key Lab on Opto-Electronic Technique of State Education Ministry, Chongqing University, Chongqing, P.R. China;Key Lab on Opto-Electronic Technique of State Education Ministry, Chongqing University, Chongqing, P.R. China;College of Physics and Information Techniques, Chongqing Normal University, Chongqing, P.R.China;Key Lab on Opto-Electronic Technique of State Education Ministry, Chongqing University, Chongqing, P.R. China;Key Lab on Opto-Electronic Technique of State Education Ministry, Chongqing University, Chongqing, P.R. China
Venue:
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Year:
2006

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Abstract

This paper presents a novel zone Could-be-in theorem, and applies it to interpret and extract singular points (cores and deltas) and estimate directions of cores in a fingerprint image. Where singular points are regarded as stable points (attracting points and rejecting points just according to their clockwise or anticlockwise rotation), and pattern zones are stable zones. Experimental results validate the theorem. The corresponding algorithm is compared with popular Poincaré index algorithm under two new indices: reliability index (RI) and accuracy cost (AC) in FVC2004 datasets. The proposed algorithm are higher 36.49% in average RI, less 2.47 in average AC, and the advantage is more remarkable with the decrease of block size.