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EnglishWe 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).
| Titolo: | A novel method for fingerprint verification that approaches the problem as a two-class pattern recognition problem | |
| Autore/i: | NANNI, LORIS; LUMINI, ALESSANDRA | |
| Autore/i Unibo: | ||
| Anno: | 2006 | |
| Rivista: | ||
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1016/j.neucom.2005.09.005 | |
| 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). | |
| Data prodotto definitivo in UGOV: | 2006-09-26 15:18:21 | |
| Appare nelle tipologie: | 1.01 Articolo in rivista |
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http://hdl.handle.net/11585/30121
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