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Eigen-Model Projections for Protected On-line Signature Recognition

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Biometrics and ID Management (BioID 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6583))

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Abstract

The protection of the templates stored in a biometric recognition system represents an issue of paramount importance for the security and privacy of the enrolled users, and directly affects the successful deployment of the system itself. In this paper we propose a protected on-line signature recognition system where the properties of Universal Background Models are exploited to provide a small dimensionality and a limited intra-class variability signature representation. The reported experimental results show that the employed signature representation and protection scheme allow to reach high recognition accuracy while providing protection to the considered biometric data.

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Author information

Authors and Affiliations

  1. Department of Applied Electronics, University Roma Tre, Italy

    Emanuele Maiorana & Patrizio Campisi

  2. Department of Signal Theory and Communications, University of Vigo, Spain

    Enrique Argones Rúa & Jose Luis Alba Castro

Authors
  1. Emanuele Maiorana
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  2. Enrique Argones Rúa
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  3. Jose Luis Alba Castro
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  4. Patrizio Campisi
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Editor information

Editors and Affiliations

  1. Bradenburg University of Applied Sciences, 14737, Brandenburg an der Havel, Germany

    Claus Vielhauer

  2. Faculty of Computer Science, Otto-von-Guericke-University Magdeburg, 39016, Magdeburg, Germany

    Jana Dittmann

  3. Swiss Federal Institute of Technology Lausanne (EPFL), 1015, Lausanne, Switzerland

    Andrzej Drygajlo

  4. Roskilde University, 4000, Roskilde, Denmark

    Niels Christian Juul

  5. Department of Electronics, University of Kent, CT2 7NT, Canterbury, Kent, UK

    Michael C. Fairhurst

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© 2011 Springer-Verlag Berlin Heidelberg

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Maiorana, E., Argones Rúa, E., Alba Castro, J.L., Campisi, P. (2011). Eigen-Model Projections for Protected On-line Signature Recognition. In: Vielhauer, C., Dittmann, J., Drygajlo, A., Juul, N.C., Fairhurst, M.C. (eds) Biometrics and ID Management. BioID 2011. Lecture Notes in Computer Science, vol 6583. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19530-3_5

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  • DOI: https://doi.org/10.1007/978-3-642-19530-3_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19529-7

  • Online ISBN: 978-3-642-19530-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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