Face Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario. (arXiv:2003.08024v3 [cs.CV] UPDATED)

Web: http://arxiv.org/abs/2003.08024

Face anti-spoofing is the key to preventing security breaches in biometric
recognition applications. Existing software-based and hardware-based face
liveness detection methods are effective in constrained environments or
designated datasets only. Deep learning method using RGB and infrared images
demands a large amount of training data for new attacks. In this paper, we
present a face anti-spoofing method in a real-world scenario by automatic
learning the physical characteristics in polarization images of a real face
compared to a deceptive attack. A …

arxiv cv face learning