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.
L. Nanni, A. Lumini (2005). Ensemble of Parzen Window Classifiers for on-line signature verification. NEUROCOMPUTING, 68, 217-224 [10.1016/j.neucom.2005.05.004].
Ensemble of Parzen Window Classifiers for on-line signature verification
NANNI, LORIS;LUMINI, ALESSANDRA
2005
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.File in questo prodotto:
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