Facial liveness detection protects face biometric systems from spoofing attacks. It does this by determining if the person in front of the camera is present (live) or someone presenting a printed photo, video, digital image, or using a mask to trick the system into thinking it sees the real person.
With large organizations processing millions of face checks monthly, one advantage of AI liveness detection is the reduced burden on humans. Another advantage of AI is faster response times for the customer. But these advantages aside, which is better at the job, the human or AI?
The team at ID R&D conducted an experiment using 175,454 images across five types of presentation attacks, including printed photos, digital displays, printed cutouts, 2D masks, and 3D masks. The results are presented in this Research Brief.
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