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 Enhancemen / Picariello, Antonio; Moscato, Vincenzo; A., Penta; Chianese, Angelo. - STAMPA. - Lecture Notes in Compute Science:(2006), pp. 274-285. (Intervento presentato al convegno 3rd International Conference on Image Analysis and Recognition, ICIAR 2006 tenutosi a Pòvoa de Varzin (Portogallo) nel 18-20, Settembre 2006).
Improving Minutiae Detection in Fingerprints Using Multiresolution Contrast Enhancemen
PICARIELLO, ANTONIO;MOSCATO, VINCENZO;CHIANESE, ANGELO
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
