Presentation attack detection methods for face recognition systems: A comprehensive survey
R Ramachandra, C Busch - ACM Computing Surveys (CSUR), 2017 - dl.acm.org
The vulnerability of face recognition systems to presentation attacks (also known as direct
attacks or spoof attacks) has received a great deal of interest from the biometric community …
attacks or spoof attacks) has received a great deal of interest from the biometric community …
A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods
Face Recognition is considered one of the most common biometric solutions these days and
is widely used across a range of devices for various security purposes. The performance of …
is widely used across a range of devices for various security purposes. The performance of …
Deep learning for face anti-spoofing: A survey
Face anti-spoofing (FAS) has lately attracted increasing attention due to its vital role in
securing face recognition systems from presentation attacks (PAs). As more and more …
securing face recognition systems from presentation attacks (PAs). As more and more …
Celeba-spoof: Large-scale face anti-spoofing dataset with rich annotations
As facial interaction systems are prevalently deployed, security and reliability of these
systems become a critical issue, with substantial research efforts devoted. Among them, face …
systems become a critical issue, with substantial research efforts devoted. Among them, face …
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 …
vulnerability to presentation attacks (aka spoofing) limits its usability in unsupervised …
A dataset and benchmark for large-scale multi-modal face anti-spoofing
Face anti-spoofing is essential to prevent face recognition systems from a security breach.
Much of the progresses have been made by the availability of face anti-spoofing benchmark …
Much of the progresses have been made by the availability of face anti-spoofing benchmark …
Casia-surf: A large-scale multi-modal benchmark for face anti-spoofing
Face anti-spoofing is essential to prevent face recognition systems from a security breach.
Much of the progresses have been made by the availability of face anti-spoofing benchmark …
Much of the progresses have been made by the availability of face anti-spoofing benchmark …
Casia-surf cefa: A benchmark for multi-modal cross-ethnicity face anti-spoofing
The issue of ethnic bias has proven to affect the performance of face recognition in previous
works, while it still remains to be vacant in face anti-spoofing. Therefore, in order to study the …
works, while it still remains to be vacant in face anti-spoofing. Therefore, in order to study the …
Deep models and shortwave infrared information to detect face presentation attacks
This paper addresses the problem of face presentation attack detection using different
image modalities. In particular, the usage of short wave infrared (SWIR) imaging is …
image modalities. In particular, the usage of short wave infrared (SWIR) imaging is …
Face presentation attack detection across spectrum using time-frequency descriptors of maximal response in laplacian scale-space
Multi-spectral face recognition has been an active area of research over the past few
decades. However, the vulnerability of multi-spectral face recognition systems is a growing …
decades. However, the vulnerability of multi-spectral face recognition systems is a growing …