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Complete Signal Modeling and Score Normalization for Function-Based Dynamic Signature Verification

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Audio- and Video-Based Biometric Person Authentication (AVBPA 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2688))

Abstract

In this contribution a function-based approach to on-line signature verification is presented. An initial set of 8 time sequences is used; then first and second time derivates of each function are computed over these, so 24 time sequences are simultaneously considered. A valuable function normalization is applied as a previous stage to a continuous-density HMM-based complete signal modeling scheme of these 24 functions, so no derived statistical features are employed, fully exploiting in this manner the HMM modeling capabilities of the inherent time structure of the dynamic process. In the verification stage, scores are considered not as absolute but rather as relative values with respect to a reference population, permitting the use of a best-reference score-normalization technique. Results using MCYT_Signature subcorpus on 50 clients are presented, attaining an outstanding best figure of 0.35% EER for skilled forgeries, when signer-dependent thresholds are considered.

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Author information

Authors and Affiliations

  1. Biometrics Research Lab., ATVS, Universidad Politécnica de Madrid, Spain

    J. Ortega-Garcia, J. Fierrez-Aguilar, J. Martin-Rello & J. Gonzalez-Rodriguez

Authors
  1. J. Ortega-Garcia
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  2. J. Fierrez-Aguilar
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  3. J. Martin-Rello
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  4. J. Gonzalez-Rodriguez
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Editor information

Editors and Affiliations

  1. Center for Vision, Speech and Signal Proc., University of Surrey, GU2 7XH, Guildford, Surrey, UK

    Josef Kittler

  2. Department of Electronics and Computer Science, University of Southampton, SO17 1BJ, Southampton, UK

    Mark S. Nixon

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© 2003 Springer-Verlag Berlin Heidelberg

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Ortega-Garcia, J., Fierrez-Aguilar, J., Martin-Rello, J., Gonzalez-Rodriguez, J. (2003). Complete Signal Modeling and Score Normalization for Function-Based Dynamic Signature Verification. In: Kittler, J., Nixon, M.S. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2003. Lecture Notes in Computer Science, vol 2688. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44887-X_77

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  • DOI: https://doi.org/10.1007/3-540-44887-X_77

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40302-9

  • Online ISBN: 978-3-540-44887-7

  • eBook Packages: Springer Book Archive

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