Improved robustness of biometrie authentication system using features of utterance

Abstract

In this paper, we propose a novel biometric authentication system using motion vectors of lips. We have already proposed a biometric authentication system using multimodal features of utterance. However, since both the edges and texture of lips can be easily extracted from a still image, an imposter may be recognized as a registrant by using a still image of the registrant. Therefore, the robustness of our biometric authentication system must be enhanced. Hence, we utilize motion vectors of lips as a feature. The proposed authentication system utilizes physical traits (edges and texture) and a behavioral trait (motion vectors) in the lip region to improve the security. Experimental results demonstrate that motion vectors in the lip region are effective for improving the robustness against imposters and can increase the authentication rate.