Fingerprint matching using ridges

Authors:
Jianjiang Feng;Zhengyu Ouyang;Anni Cai
Affiliations:
School of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Box 113, Beijing 100876, PR China;School of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Box 113, Beijing 100876, PR China;School of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Box 113, Beijing 100876, PR China
Venue:
Pattern Recognition
Year:
2006

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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.