Fingerprint singular points detection and direction estimation with a “t” shape model

Authors:
Tong Liu;Pengwei Hao;Chao Zhang
Affiliations:
National Laboratory on Machine Perception, Peking University, Beijing, China;National Laboratory on Machine Perception, Peking University, Beijing, China;National Laboratory on Machine Perception, Peking University, Beijing, China
Venue:
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Year:
2005

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Abstract

As a sort of evident landmark features of fingerprints, singular points (SPs) play important roles in fingerprint alignment, classification and recognition. We present an adaptive “T” shape model of SPs and develop a robust and generic approach to detect SPs and their directions simultaneously. The proposed approach utilizes homocentric sectors around candidate SPs to pick out lateral-axes and further main-axes based on the proposed model. The results of the experiment conducted on a public database, FVC 2002, demonstrate the effectiveness of the method in this paper.