Author:
Yu Zitong,Komulainen Jukka,Li Xiaobai,Zhao Guoying
Publisher
Springer Nature Singapore
Reference97 articles.
1. ISO (2016) ISO/IEC JTC 1/SC 37 Biometrics: Information technology biometric presentation attack detection part 1: Framework. In: https://www.iso.org/obp/ui/iso
2. Mohammadi A, Bhattacharjee S, Marcel S (2017) Deeply vulnerable: a study of the robustness of face recognition to presentation attacks. IET Biometrics
3. Wan J, Guo G, Escalera S, Escalante HJ, Li SZ (2020) Multi-modal face presentation attack detection. Synth Lect Comput Vis 9(1):1–88
4. Ming Z, Visani M, Luqman MM, Burie JC (2020) A survey on anti-spoofing methods for facial recognition with RGB cameras of generic consumer devices. J Imaging 6(12):139
5. Yu Z, Qin Y, Li X, Zhao C, Lei Z, Zhao G (2021) Deep learning for face anti-spoofing: a survey. arXiv:2106.14948
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