Abstract
Face liveness detection is more and more important in face recognition systems, which are vulnerable to spoof attacks made by non-real 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.
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© 2015 Springer International Publishing Switzerland
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Mei, L., Yang, D., Feng, Z., Lai, J. (2015). WLD-TOP Based Algorithm against Face Spoofing Attacks. In: Yang, J., Yang, J., Sun, Z., Shan, S., Zheng, W., Feng, J. (eds) Biometric Recognition. CCBR 2015. Lecture Notes in Computer Science(), vol 9428. Springer, Cham. https://doi.org/10.1007/978-3-319-25417-3_17
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DOI: https://doi.org/10.1007/978-3-319-25417-3_17
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