Improving minutiae detection in fingerprints using multiresolution contrast enhancement

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Abstract

The majority of automatic fingerprint matching systems depends on the comparison of the local ridge characteristics (bifurcation and termination), and a critical step in fingerprint matching is to extract minutiae from the input image. In this work we propose a novel ridge following algorithm based on a robust image enhancement filtering. Several experiments are carried out, showing the performances of the proposed approach. © Springer-Verlag Berlin Heidelberg 2006.

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Chianese, A., Moscato, V., Penta, A., & Picariello, A. (2006). Improving minutiae detection in fingerprints using multiresolution contrast enhancement. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4142 LNCS, pp. 274–285). Springer Verlag. https://doi.org/10.1007/11867661_25

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