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Template Protection for On-Line Signature-Based Recognition Systems

  • Emanuele Maiorana
  • Patrizio Campisi
  • Alessandro Neri
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5372)

Abstract

Security and privacy issues are considered as two of the major concerns related to the use of biometric data for authentication purposes. In this paper we propose two different approaches for the protection of on-line signature biometric templates. In the first one, cryptographic techniques are employed to protect signature features, making impossible to derive the original biometrics from the stored templates. In the second one, data hiding techniques are used to design a security scalable authentication system, embedding some dynamic signature features into a static representation of the signature itself. Extensive experimental results are provided to show the effectiveness of the presented protection methods.

Keywords

Equal Error Rate False Acceptance Rate False Rejection Rate Biometric Template Error Correction Capability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Emanuele Maiorana
    • 1
  • Patrizio Campisi
    • 1
  • Alessandro Neri
    • 1
  1. 1.Dip. Elettronica ApplicataUniversità degli Studi Roma TreRomaItaly

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