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Fingerprint matching using ridges
Authors:Jianjiang Feng [Author Vitae]  Zhengyu Ouyang [Author Vitae] [Author Vitae]
Affiliation:School of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Box 113, Beijing 100876, PR China
Abstract:
Traditionally, fingerprint matching is minutia-based, which establishes the minutiae correspondences between two fingerprints. In this paper, a novel fingerprint matching algorithm is presented, which establishes both the ridge correspondences and the minutia correspondences between two fingerprints. First N initial substructure (including a minutia and adjacent ridges) pairs are found by a novel alignment method. Based on each of these substructure pairs, ridge matching is performed by incrementally matching ridges and minutiae, and then a matching score is computed. The maximum one of the N scores is used as the final matching score of two fingerprints. Preliminary results on FVC2002 databases show that ridge matching approach performs comparably with the minutia-based one.
Keywords:Fingerprint   Minutiae   Ridge matching   Curve matching   Alignment   Dynamic programming
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