Improving Fingerprint Matching Using an Orientation-Based Minutia Descriptor
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
A multiple substructure matching algorithm for fingerprint verification
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Embedding cylinder quality measures into minutia cylinder-code based latent fingerprint matching
Proceedings of the on Multimedia and security
A robust fingerprint matching approach: growing and fusing of local structures
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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Most minutiae-based matching algorithms confront with the challenge of missing and fake minutiae, and especially the non-linear distortion. Many efforts have been made to cope with these problems while relatively slow improvements achieved. In this paper, we proposed a novel minutiae-based matching scheme which introduced a concept of compatibility to the minutiae triangle structures. And based on the compatibility, we further adopted a relaxation process to adjust the similarity matrix of the minutiae triangle cells between the query and template images. To reduce the effect of non-linear distortion evidently, an extended searching step independent of any linear models was proposed. Results obtained on the FVC2004 B1_A show that the proposed algorithm overcomes the influence of missing and fake minutiae, and meanwhile decreases the time cost of matching saliently.