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Biometrics: Different Approaches for Using Gaussian Mixture Models in Handwriting

  • Sascha Schimke
  • Athanasios Valsamakis
  • Claus Vielhauer
  • Yannis Stylianou
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3677)

Abstract

In this work in progress paper we discuss an established as well as a new approache to the use of Gaussian Mixture Models (GMMs) for handwriting biometrics. The technique of GMMs is well explored for the domain of speech processing and we evaluate ways to use them for handwriting biometrics, too.

References

  1. 1.
    Richiardi, J., Drygajlo, A.: Gaussian Mixture Models for On-line Signature Verification. In: Proceedings of WBMA 2003, pp. 115–122 (2003)Google Scholar
  2. 2.
    Reynolds, D.A.: A Gaussian Mixture Modeling Approach to Text-Independent Speaker, PhD Thesis, Georgia Institute of Technology (August 1992)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2005

Authors and Affiliations

  • Sascha Schimke
    • 1
  • Athanasios Valsamakis
    • 2
  • Claus Vielhauer
    • 1
  • Yannis Stylianou
    • 2
  1. 1.Otto-von-Guericke University of MagdeburgGermany
  2. 2.University of CreteGreece

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