Abstract: Vulnerability to spoofing attacks is the main drawback for current face authentication systems. Traditional spoofing attacks include displaying printed photos and replaying recorded videos. With the development of 3D printing technology, the 3D mask spoofing attack has been becoming the new threat. A novel anti-spoofing feature was proposed to 3D mask attacks. A liveness feature from the power spectrum of facial color signal was extracted based on a physiological phenomenon that the color of real human face changed periodically due to the blood circulation. The performance of countermeasure jointly using the liveness feature and facial texture feature was evaluated on a public database named 3D Mask Attack Database (3DMAD) and achieved a higher accuracy comparing to previous methods that only considered texture features.

Key words: face authentication, spoofing attacks, 3D mask, facial vital signs