A survey on anti-spoofing methods for facial recognition with rgb cameras of generic consumer devices

Z Ming, M Visani, MM Luqman, JC Burie - Journal of imaging, 2020 - mdpi.com
The widespread deployment of facial recognition-based biometric systems has made facial
presentation attack detection (face anti-spoofing) an increasingly critical issue. This survey …

Cross‐ethnicity face anti‐spoofing recognition challenge: A review

A Liu, X Li, J Wan, Y Liang, S Escalera… - IET …, 2021 - Wiley Online Library
Face anti‐spoofing is critical to prevent face recognition systems from a security breach. The
biometrics community has achieved impressive progress recently due to the excellent …

Searching central difference convolutional networks for face anti-spoofing

Z Yu, C Zhao, Z Wang, Y Qin, Z Su… - Proceedings of the …, 2020 - openaccess.thecvf.com
Face anti-spoofing (FAS) plays a vital role in face recognition systems. Most state-of-the-art
FAS methods 1) rely on stacked convolutions and expert-designed network, which is weak …

Learning deep models for face anti-spoofing: Binary or auxiliary supervision

Y Liu, A Jourabloo, X Liu - Proceedings of the IEEE …, 2018 - openaccess.thecvf.com
Face anti-spoofing is crucial to prevent face recognition systems from a security breach.
Previous deep learning approaches formulate face anti-spoofing as a binary classification …

NAS-FAS: Static-dynamic central difference network search for face anti-spoofing

Z Yu, J Wan, Y Qin, X Li, SZ Li… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Face anti-spoofing (FAS) plays a vital role in securing face recognition systems. Existing
methods heavily rely on the expert-designed networks, which may lead to a sub-optimal …

Biometric face presentation attack detection with multi-channel convolutional neural network

A George, Z Mostaani, D Geissenbuhler… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Face recognition is a mainstream biometric authentication method. However, the
vulnerability to presentation attacks (aka spoofing) limits its usability in unsupervised …

Deep spatial gradient and temporal depth learning for face anti-spoofing

Z Wang, Z Yu, C Zhao, X Zhu, Y Qin… - Proceedings of the …, 2020 - openaccess.thecvf.com
Face anti-spoofing is critical to the security of face recognition systems. Depth supervised
learning has been proven as one of the most effective methods for face anti-spoofing …

Face anti-spoofing: Model matters, so does data

X Yang, W Luo, L Bao, Y Gao, D Gong… - Proceedings of the …, 2019 - openaccess.thecvf.com
Face anti-spoofing is an important task in full-stack face applications including face
detection, verification, and recognition. Previous approaches build models on datasets …

Face de-spoofing: Anti-spoofing via noise modeling

A Jourabloo, Y Liu, X Liu - Proceedings of the European …, 2018 - openaccess.thecvf.com
Many prior face anti-spoofing works develop discriminative models for recognizing the
subtle differences between live and spoof faces. Those approaches often regard the image …

Deep pixel-wise binary supervision for face presentation attack detection

A George, S Marcel - 2019 international conference on …, 2019 - ieeexplore.ieee.org
Face recognition has evolved as a prominent biometric authentication modality. However,
vulnerability to presentation attacks curtails its reliable deployment. Automatic detection of …