Ensemble of Parzen window classifiers for on-line signature verification

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.