This paper proposes a novel method of image-based fingerprint matching based on the features extracted by "FingerCode". The experiments show that our system outperforms the standard "FingerCode" recognition method and others image-based approaches. Combining the matching score generated by the proposed technique with that obtained from a minutiae-based matcher results in an overall improvement in performance of the fingerprint matching.

Maio, D., Nanni, L. (2005). An efficient fingerprint verification system using integrated Gabor filters and Parzen Window Classifier. NEUROCOMPUTING, 68, 208-216 [10.1016/j.neucom.2005.05.003].

An efficient fingerprint verification system using integrated Gabor filters and Parzen Window Classifier

MAIO, DARIO;NANNI, LORIS
2005

Abstract

This paper proposes a novel method of image-based fingerprint matching based on the features extracted by "FingerCode". The experiments show that our system outperforms the standard "FingerCode" recognition method and others image-based approaches. Combining the matching score generated by the proposed technique with that obtained from a minutiae-based matcher results in an overall improvement in performance of the fingerprint matching.
2005
Maio, D., Nanni, L. (2005). An efficient fingerprint verification system using integrated Gabor filters and Parzen Window Classifier. NEUROCOMPUTING, 68, 208-216 [10.1016/j.neucom.2005.05.003].
Maio, Dario; Nanni, Loris
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/6829
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