Letters: Ensemble of Parzen window classifiers for on-line signature verification

  • Authors:
  • Loris Nanni;Alessandra Lumini

  • Affiliations:
  • DEIS, IEIIT - CNR, Universití di Bologna, Viale Risorgimento 2, 40136 Bologna, Italy;DEIS, IEIIT - CNR, Universití di Bologna, Viale Risorgimento 2, 40136 Bologna, Italy

  • Venue:
  • Neurocomputing
  • Year:
  • 2005

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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.