A Review of Face Anti-spoofing and Its Applications in China

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Abstract

Face anti-spoofing detection gains more and more attention, and due to some attacks like spoofing image, spoofing video and 3D masks etc. in security sensitive area, it has being widely used in industries in China. In this work, we summarize the traditional and recent methods proposed in the area of face anti-spoofing and divide them into three main categories, which are feature based methods, deep learning based methods and other methods. In addition, we also compare the performance of these methods and investigate the application of some famous Chinese enterprises. Finally, we provide an outlook into the future of this field of research.

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Wu, B., Pan, M., & Zhang, Y. (2020). A Review of Face Anti-spoofing and Its Applications in China. In Advances in Intelligent Systems and Computing (Vol. 1063, pp. 35–43). Springer. https://doi.org/10.1007/978-3-030-31967-0_4

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