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

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Computational Forensics (IWCF 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5158))

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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.

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Authors and Affiliations

  1. Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, via Orabona 4, 70125, Bari (I),  

    Donato Impedovo & Mario Refice

  2. Dipartimento di Informatica, Università degli Studi di Bari, via Orabona 4, 70126, Bari (I),  

    Giuseppe Pirlo

  3. Centro “Rete Puglia”, Università degli Studi di Bari, via G. Petroni 15/F.1, 70124, Bari (I),  

    Donato Impedovo & Giuseppe Pirlo

Authors
  1. Donato Impedovo
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  2. Giuseppe Pirlo
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  3. Mario Refice
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Editor information

Sargur N. Srihari Katrin Franke

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© 2008 Springer-Verlag Berlin Heidelberg

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Impedovo, D., Pirlo, G., Refice, M. (2008). Handwritten Signature and Speech: Preliminary Experiments on Multiple Source and Classifiers for Personal Identity Verification. In: Srihari, S.N., Franke, K. (eds) Computational Forensics. IWCF 2008. Lecture Notes in Computer Science, vol 5158. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85303-9_17

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  • DOI: https://doi.org/10.1007/978-3-540-85303-9_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85302-2

  • Online ISBN: 978-3-540-85303-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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