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.
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Richiardi, J., Drygajlo, A.: Gaussian Mixture Models for On-line Signature Verification. In: Proceedings of WBMA 2003, pp. 115–122 (2003)
Reynolds, D.A.: A Gaussian Mixture Modeling Approach to Text-Independent Speaker, PhD Thesis, Georgia Institute of Technology (August 1992)
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© 2005 IFIP International Federation for Information Processing
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Schimke, S., Valsamakis, A., Vielhauer, C., Stylianou, Y. (2005). Biometrics: Different Approaches for Using Gaussian Mixture Models in Handwriting. In: Dittmann, J., Katzenbeisser, S., Uhl, A. (eds) Communications and Multimedia Security. CMS 2005. Lecture Notes in Computer Science, vol 3677. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552055_26
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DOI: https://doi.org/10.1007/11552055_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28791-9
Online ISBN: 978-3-540-31978-8
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