Privacy-Aware Database System for Retrieving Facial Images

  • Tomohiko Fujita
  • Takuya Funatomi
  • Yoshitaka Morimura
  • Michihiko Minoh
Part of the Communications in Computer and Information Science book series (CCIS, volume 300)

Abstract

To achieve privacy protection on facial image retrieval systems, we propose a method of encrypting facial images with a key produced from facial features. Because facial features vary even for the same person, it is not recommended to use facial features as the cryptographic key. Therefore, we propose a method for generating a key by quantizing the facial features based on entropy. In our experiment, we applied the proposed method to a public facial image database, and evaluated the system performance and integrity by calculating the false acceptance rate and the false rejection rate.

Keywords

Facial Image Facial Feature Query Image Privacy Protection Advanced Encryption Standard 
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 2012

Authors and Affiliations

  • Tomohiko Fujita
    • 1
  • Takuya Funatomi
    • 1
  • Yoshitaka Morimura
    • 1
  • Michihiko Minoh
    • 1
  1. 1.Kyoto UniversityKyoto-shiJapan

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