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

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.
2005
L. Nanni; A. Lumini
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.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/6828
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 59
  • ???jsp.display-item.citation.isi??? 55
social impact