A robust fingerprint matching method

Authors:
Jin Qi;Yangsheng Wang
Affiliations:
Department of Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 610054, PR China and Room 1211, National Laboratory of Pattern Recognition, Institute of Aut ...;Room 1211, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, Beijing 100080, PR China
Venue:
Pattern Recognition
Year:
2005

Citing 6
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Abstract

This paper is concerned with accurate and efficient fingerprint matching. We have two main contributions:(1)define a novel feature vector for each fingerprint minutia based on the global orientation field. These features are used to identify corresponding minutiae between two fingerprint impressions by computing the Euclidean distance between vectors. (2)novel distortion-tolerant matching algorithm based on the closest triangle is developed. Furthermore, fingerprint directional field is also used to compute the final matching score combining with minutiae elaborately. A series of experiments conducted on the public data collection, DB3, FVC2002, demonstrates the effectiveness of our method.