Handwritten Signature and Speech: Preliminary Experiments on Multiple Source and Classifiers for Personal Identity Verification

  • Authors:
  • Donato Impedovo;Giuseppe Pirlo;Mario Refice

  • Affiliations:
  • Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Bari (I), 70125 and Centro "Rete Puglia", Università degli Studi di Bari, Bari (I), 70124;Dipartimento di Informatica, Università degli Studi di Bari, Bari (I), 70126 and Centro "Rete Puglia", Università degli Studi di Bari, Bari (I), 70124;Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Bari (I), 70125

  • Venue:
  • IWCF '08 Proceedings of the 2nd international workshop on Computational Forensics
  • Year:
  • 2008

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Abstract

This paper presents a personal verification system based on two different biometric traits: handwritten signature and speech. The signature verification system uses contour-based features and a Dynamic Time Warping technique for matching. The speaker verification system uses cepstral based coefficients and is based on a Hidden Markov Model statistical classifier. In the decision combination stage, the decisions provided by the two systems are combined according to a simple abstract---level combination approach. The experimental results related to a real-scenario demonstrate the effectiveness of the proposed approach and highlight some profitable directions for further developments.