Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/12966
Title: Direct pore matching for fingerprint recognition
Authors: Zhao, Q
Zhang, L 
Zhang, D 
Luo, N
Keywords: Fingerprint recognition
Fusion
Level-3 features
Pore matching
Issue Date: 2009
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2009, v. 5558 LNCS, p. 597-606 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: Sweat pores on fingerprints have proven to be useful features for personal identification. Several methods have been proposed for pore matching. The state-of-the-art method first matches minutiae on the fingerprints and then matches the pores based on the minutia matching results. A problem of such minutia - Based pore matching method is that the pore matching is dependent on the minutia matching. Such dependency limits the pore matching performance and impairs the effectiveness of the fusion of minutia and pore match scores. In this paper, we propose a novel direct approach for matching fingerprint pores. It first determines the correspondences between pores based on their local features. It then uses the RANSAC (RANdom SAmple Consensus) algorithm to refine the pore correspondences obtained in the first step. A similarity score is finally calculated based on the pore matching results. The proposed pore matching method successfully avoids the dependency of pore matching on minutia matching results. Experiments have shown that the fingerprint recognition accuracy can be greatly improved by using the method proposed in this paper.
Description: 3rd International Conference on Advances in Biometrics, ICB 2009, Alghero, 2-5 June 2009
URI: http://hdl.handle.net/10397/12966
ISBN: 3642017924
9783642017926
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-642-01793-3_61
Appears in Collections:Conference Paper

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