Department of Computer Science
Vulnerabilities in binary face template
It is generally believed that original face image is hard to be reconstructed from its binary face template and therefore, binary face template is secure. In this paper, we find that binary template is not secure and can be attacked by a masquerade attack. A masquerade face image, which may not "look" similar with the original image, is constructed from binary templates and then employed to access the system. Experimental results show that the successful attacking rate on CMU-PIE and FRGC databases are 100% and 77.14% in around 8 and 33 seconds in a personal computer, respectively. © 2012 IEEE.
Source Publication Title
2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Providence, Rhode Island
Link to Publisher's Edition
Feng, Yi C., and Pong C. Yuen. "Vulnerabilities in binary face template." 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2012): 105-110.