NDLI: A new algorithm for distorted fingerprints matching based on normalized fuzzy similarity measure

Content Provider	IEEE Xplore Digital Library
Author	Xinjian Chen Jie Tian Xin Yang
Copyright Year	1992
Abstract	Coping with nonlinear distortions in fingerprint matching is a challenging task. This paper proposes a novel algorithm, normalized fuzzy similarity measure (NFSM), to deal with the nonlinear distortions. The proposed algorithm has two main steps. First, the template and input fingerprints were aligned. In this process, the local topological structure matching was introduced to improve the robustness of global alignment. Second, the method NFSM was introduced to compute the similarity between the template and input fingerprints. The proposed algorithm was evaluated on fingerprints databases of FVC2004. Experimental results confirm that NFSM is a reliable and effective algorithm for fingerprint matching with nonliner distortions. The algorithm gives considerably higher matching scores compared to conventional matching algorithms for the deformed fingerprints.
Sponsorship	IEEE Signal Processing Society
Page Count	10
File Size	1469745
Starting Page	767
Ending Page	776
File Format	PDF
ISSN	10577149
Volume Number	15
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fingerprint recognition Distortion measurement Nonlinear distortion Pattern matching Image matching Robustness Image databases Image registration Biometrics National security similarity measures fingerprint image registration matching minutia
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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