An on-line signature verification system exploiting global information is presented. Global information is extracted with a feature-based representation and recognized by using an ensemble of Parzen Window Classifiers. Experimental results obtained on the SUBCORPUS-100 MCYT signature database (100 signers, 5000 signatures) show that the machine expert, here proposed, outperforms the state-of-the-art works both for random and skilled forgeries.
Titolo: | Ensemble of Parzen Window Classifiers for on-line signature verification |
Autore/i: | NANNI, LORIS; LUMINI, ALESSANDRA |
Autore/i Unibo: | |
Anno: | 2005 |
Rivista: | |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1016/j.neucom.2005.05.004 |
Abstract: | An on-line signature verification system exploiting global information is presented. Global information is extracted with a feature-based representation and recognized by using an ensemble of Parzen Window Classifiers. Experimental results obtained on the SUBCORPUS-100 MCYT signature database (100 signers, 5000 signatures) show that the machine expert, here proposed, outperforms the state-of-the-art works both for random and skilled forgeries. |
Data prodotto definitivo in UGOV: | 2005-09-28 10:53:11 |
Appare nelle tipologie: | 1.01 Articolo in rivista |
File in questo prodotto:
Eventuali allegati, non sono esposti
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.