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.
Ensemble of Parzen Window Classifiers for on-line signature verification / L. Nanni; A. Lumini. - In: NEUROCOMPUTING. - ISSN 0925-2312. - STAMPA. - 68:(2005), pp. 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.