Revealing the secret of facehashing

  • Authors:

  • King-Hong Cheung;Adams Kong;David Zhang;Mohamed Kamel;Jane You

  • Affiliations:

  • Biometrics Research Centre, Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong;Biometrics Research Centre, Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong;Biometrics Research Centre, Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong;Pattern Analysis and Machine Intelligence Lab, University of Waterloo, Ontario, Canada;Biometrics Research Centre, Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong

  • Venue:
  • ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
  • Year:
  • 2006

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Abstract

Biometric authentication has attracted substantial attention over the past few years. It has been reported recently that a new technique called FaceHashing, which is proposed for personal authentication using face images, has achieved perfect accuracy and zero equal error rates (EER). In this paper, we are going to reveal that the secret of FaceHashing in achieving zero EER is based on a false assumption. This is done through simulating the claimants’ experiments. Thus, we would like to alert the use of “safe” token.