We present a system for fingerprintverification that approaches the problem as atwo-classpatternrecognitionproblem. 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 twoclasses (genuine or impostor).
A novel method for fingerprint verification that approaches the problem as a two-class pattern recognition problem
NANNI, LORIS;
2006
Abstract
We present a system for fingerprintverification that approaches the problem as atwo-classpatternrecognitionproblem. 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 twoclasses (genuine or impostor).
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