Detecting Fake Face Input for Face Authentication by DCT with Compensating the Main Spindle Position of Face
Ryo Furuie, Yuji Goda, Lifeng Zhang · 2015
In this information age, biometrics has been used in many fields in our social life. Face as a very important individual feature has been researched for a long time for individual authentication. It takes the advantage that can be captured from a long distance and can be performed without notifying the subject. But face is exposed almost publicly, and can be caught easily by other people, the problem that people take authentication illegally with other’s face photo is appeared. In order to prevent such a happening, detecting fake face input for face authentication by DCT with compensating the main spindle position of face is proposed here. In this paper the dynamic difference between real face and face photo has been studied. Simulation result shows that the proposed approach can distinguish the fake face input to prevent masquerading, either the face picture is fixed or moving which the previous research cannot do.