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.
Improving Minutiae Detection in Fingerprints Using Multiresolution Contrast Enhancement / Chianese, Angelo; Moscato, Vincenzo; Penta, A.; Picariello, Antonio. - STAMPA. - 4142:(2006), pp. 274-285.
Improving Minutiae Detection in Fingerprints Using Multiresolution Contrast Enhancement
CHIANESE, ANGELO;MOSCATO, VINCENZO;PICARIELLO, ANTONIO
2006
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.File in questo prodotto:
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