Revealing the Secret of FaceHashing
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.
- 7.Jain, A., Bolle, R., Pankanti, S. (eds.): Biometrics: Personal Identification in Networked Society. Kluwer Academic Publishers, Boston Mass (1999)Google Scholar
- 13.Connie, T., Teoh, A., Goh, M., Ngo, D.: PalmHashing: A Novel Approach for Dual-Factor Authentication. Pattern Analysis and Application 7, 255–268Google Scholar
- 14.Pang, Y.H., Teoh, A.B.J., Ngo, D.C.L.: Palmprint based cancelable biometric authentication system. International Journal of Signal Processing 1, 98–104 (2004)Google Scholar
- 16.Samaria, F., Harter, A.: Parameterisation of a stochastic model for human face identification. In: Proceedings of the 2nd IEEE Workshop on Applications of Computer Vision, Sarasota (Florida), pp. 138–142 (1994), paper and ORL face database both available online at http://www.uk.research.att.com/facedatabase.html