A Fingerprint Verification System Based on Triangular Matching and Dynamic Time Warping
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Region-Based Fuzzy Feature Matching Approach to Content-Based Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modelling Plastic Distortion in Fingerprint Images
ICAPR '01 Proceedings of the Second International Conference on Advances in Pattern Recognition
A Robust Fingerprint Matching Algorithm Using Local Alignment
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Effect of Controlled Image Acquisition of Fingerprint Matching
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
A deformable model for fingerprint matching
Pattern Recognition
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Coping with non-linear distortions in fingerprint matching is a real challenging task. This paper proposed a novel method, fuzzy features match (FFM), to match the deformed fingerprints. The fingerprint was represented by the fuzzy features: local triangle features set. The similarity between fuzzy features is used to character the similarity between fingerprints. First, a fuzzy similarity measure for two triangles was introduced. Second, the result is extended to construct a similarity vector which includes the triangle-level similarities for all triangles in two fingerprints. Accordingly, a similarity vector pair is defined to illustrate the similarities between two fingerprints. Finally, the FFM measure maps a similarity vector pair to a scalar quantity, within the real interval [0, 1], which quantifies the overall image to image similarity. To validate the method, fingerprints of FVC2004 were evaluated with the proposed algorithm. Experimental results show that FFM is a reliable and effective algorithm for fingerprint matching with non-liner distortions.