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Integrating minutiae based fingerprint matching with local mutual information
2008
Pattern Recognition (ICPR), Proceedings of the International Conference on
Minutiae based fingerprint matching algorithms are wildly used in fingerprint identification and verification applications. However,they may suffer from spurious matches because they do not use the rich local image information. In this paper, we extend minutiae based methods to incorporate such local image information. Our method uses local mutual information, a proven similarity measure in various applications, to improve the matching rate. The overall minutiae distribution pattern between two
doi:10.1109/icpr.2008.4761888
dblp:conf/icpr/LiTFCG08
fatcat:i4txeuil4bdu5msri2je2hm7tu