Face liveness detection for face recognition based on cardiac features of skin color image

Kun Ha Suh; Eui Chul Lee

doi:10.1117/12.2242472

11 July 2016 Face liveness detection for face recognition based on cardiac features of skin color image

Kun Ha Suh, Eui Chul Lee

Proceedings Volume 10011, First International Workshop on Pattern Recognition; 100110C (2016) https://doi.org/10.1117/12.2242472
Event: First International Workshop on Pattern Recognition, 2016, Tokyo, Japan

Abstract

With the growth of biometric technology, spoofing attacks have been emerged a threat to the security of the system. Main spoofing scenarios in the face recognition system include the printing attack, replay attack, and 3D mask attack. To prevent such attacks, techniques that evaluating liveness of the biometric data can be considered as a solution. In this paper, a novel face liveness detection method based on cardiac signal extracted from face is presented. The key point of proposed method is that the cardiac characteristic is detected in live faces but not detected in non-live faces. Experimental results showed that the proposed method can be effective way for determining printing attack or 3D mask attack.

Citation Download Citation

Kun Ha Suh and Eui Chul Lee "Face liveness detection for face recognition based on cardiac features of skin color image", Proc. SPIE 10011, First International Workshop on Pattern Recognition, 100110C (11 July 2016); https://doi.org/10.1117/12.2242472

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