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).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.