We present a system for fingerprint verification that approaches the problem as a two-class pattern recognition problem. The distances of the test fingerprint to the reference fingerprints are normalized by the corresponding mean values obtained from the reference set, to form a five-dimensional feature vector. This feature vector is then projected onto a one-dimensional Karhunen-Loeve space and then classified into one of the two classes (genuine or impostor).

Nanni, L., Lumini, A. (2006). A novel method for fingerprint verification that approaches the problem as a two-class pattern recognition problem. NEUROCOMPUTING, 69, 846-849 [10.1016/j.neucom.2005.09.005].

A novel method for fingerprint verification that approaches the problem as a two-class pattern recognition problem

NANNI, LORIS;LUMINI, ALESSANDRA
2006

Abstract

We present a system for fingerprint verification that approaches the problem as a two-class pattern recognition problem. The distances of the test fingerprint to the reference fingerprints are normalized by the corresponding mean values obtained from the reference set, to form a five-dimensional feature vector. This feature vector is then projected onto a one-dimensional Karhunen-Loeve space and then classified into one of the two classes (genuine or impostor).
2006
Nanni, L., Lumini, A. (2006). A novel method for fingerprint verification that approaches the problem as a two-class pattern recognition problem. NEUROCOMPUTING, 69, 846-849 [10.1016/j.neucom.2005.09.005].
Nanni, Loris; Lumini, Alessandra
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/30121
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