论文信息 - Biometric Authentication for a Mobile Personal Device

Biometric Authentication for a Mobile Personal Device

Secure access is prerequisite for a Mobile Personal Device (MPD) in a Personal Network (PN). An authentication method using biometrics, specifically face, is proposed in this paper. A fast face detection and registration method based on a Viola-Jones detector is implemented, and a face-authentication method based on subspace metrics is developed. Experiments show that the authentication method is effective with an Equal Error Rate (EER) of 1.2%, despite its simplicity.

Raymond N. J. Veldhuis | Qian Tao

[1] Shimon Ullman,et al. Face Recognition: The Problem of Compensating for Changes in Illumination Direction , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[2] Raymond N. J. Veldhuis,et al. Comparing landmarking methods for face recognition , 2005 .

[3] Nalini K. Ratha,et al. Biometric perils and patches , 2002, Pattern Recognit..

[4] Erkki Oja,et al. Subspace methods of pattern recognition , 1983 .

[5] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.

[6] Raymond N. J. Veldhuis,et al. On the accuracy of EERs in face recognition and the importance of reliable registration , 2005 .

[7] Jean-Paul M. G. Linnartz,et al. New Shielding Functions to Enhance Privacy and Prevent Misuse of Biometric Templates , 2003, AVBPA.

[8] Timothy F. Cootes,et al. A Multi-Stage Approach to Facial Feature Detection , 2004, BMVC.

[9] Alex Pentland,et al. Probabilistic Visual Learning for Object Representation , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[10] Shimon Ullman,et al. Face Recognition: The Problem of Compensating for Changes in Illumination Direction , 1994, IEEE Trans. Pattern Anal. Mach. Intell..