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

Authors:
Loris Nanni;Alessandra Lumini
Affiliations:
DEIS, IEIIT-CNR, Universití di Bologna, Viale Risorgimento 2, 40136 Bologna, Italy;DEIS, IEIIT-CNR, Universití di Bologna, Viale Risorgimento 2, 40136 Bologna, Italy
Venue:
Neurocomputing
Year:
2006

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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).