VoxAtnNet: A 3D Point Clouds Convolutional Neural Network for Generalizable Face Presentation Attack Detection

arXiv:2404.12680v1 Announce Type: cross
Abstract: Facial biometrics are an essential components of smartphones to ensure reliable and trustworthy authentication. However, face biometric systems are vulnerable to Presentation Attacks (PAs), and the availability of more sophisticated presentation attack instruments such as 3D silicone face masks will allow attackers to deceive face recognition systems easily. In this work, we propose a novel Presentation Attack Detection (PAD) algorithm based on 3D point clouds captured using the frontal camera of a smartphone to detect …

arxiv attack attacks authentication availability biometric biometrics clouds components cs.cr cs.cv detection facial masks network neural network point presentation presentation attack detection smartphones systems vulnerable