WLD-TOP Based Algorithm against Face Spoofing Attacks

摘要

Face liveness detection is more and more important in face recognition systems, which are vulnerable to spoof attacks made by nonreal faces. Recent work has revealed that some algorithms based on image descriptors are applied to face liveness detection against face spoofing attacks, such as LBP and LBP-TOP. However, these image descriptors are not robust to spoofing attacks. In this paper, we propose a robust and powerful local descriptor, called WLD-TOP. It combines temporal and spatial information into a single descriptor with a multiresolution strategy. Extensive experiments on CASIA and our new SYSU-MFSD database demonstrate that the descriptor can achieve a better liveness detection performance in both intra and cross-databases compared to the state-of-the-art techniques based on descriptors.