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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Hybrid Algorithm for Fingerprint Matching Using Delaunay Triangulation and Local Binary Patterns
verfasst von : Alejandro Chau Chau, Carlos Pon Soto
Erschienen in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Verlag: Springer Berlin Heidelberg
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This paper proposes a hybrid algorithm for fingerprint matching using geometric structures with Delaunay triangle’s based formed by the minutiae. For those minutiae triangles candidates for fingerprint matching, the texture information is extracted from the original raw image localized inside the triangle using Local Binary Patterns techniques (LBP). The preliminary results have shown that the merging technique is fairly robust for genuine fingerprint matching discrimination, reducing thus the error rate for FRR and FAR and the time comparison between fingerprint in the verification and/or identification process. The experimental results have shown that the proposed algorithm is effective and reliable. Tests were conducted from the database BD1 and BD2 of FVC2002 competition, obtaining an EER of 6.18% and 3.17% respectively.