Abstract
How to cope with non-linear distortions in the matching algorithm is a real challenge. In this paper, we proposed a novel fingerprint matching algorithm based on the local topologic structure and a novel method to compute the similarity between two fingerprints. The algorithm firstly aligns the template fingerprint and the input fingerprint. Then local topologic structure matching was introduced to improve the robustness of global alignment. Finally a novel method was introduced to compute the similarity between the template fingerprint and the input fingerprint. The proposed algorithm has been participated in Fingerprint verification competition (FVC2004). The performance was ranked 3rd position in open category in FVC2004. © Springer-Verlag 2004.
Cite
CITATION STYLE
Chen, X., Tian, J., & Yang, X. (2004). A matching algorithm based on local topologic structure. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3211, 360–367. https://doi.org/10.1007/978-3-540-30125-7_45
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