A survey on anti-spoofing methods for facial recognition with rgb cameras of generic consumer devices
The widespread deployment of facial recognition-based biometric systems has made facial
presentation attack detection (face anti-spoofing) an increasingly critical issue. This survey …
presentation attack detection (face anti-spoofing) an increasingly critical issue. This survey …
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 …
One-class classification: A survey
One-Class Classification (OCC) is a special case of multi-class classification, where data
observed during training is from a single positive class. The goal of OCC is to learn a …
observed during training is from a single positive class. The goal of OCC is to learn a …
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 …
Deep pixel-wise binary supervision for face presentation attack detection
Face recognition has evolved as a prominent biometric authentication modality. However,
vulnerability to presentation attacks curtails its reliable deployment. Automatic detection of …
vulnerability to presentation attacks curtails its reliable deployment. Automatic detection of …
Biometrics: Trust, but verify
Over the past two decades, biometric recognition has exploded into a plethora of different
applications around the globe. This proliferation can be attributed to the high levels of …
applications around the globe. This proliferation can be attributed to the high levels of …
Learning one class representations for face presentation attack detection using multi-channel convolutional neural networks
Face recognition has evolved as a widely used biometric modality. However, its vulnerability
against presentation attacks poses a significant security threat. Though presentation attack …
against presentation attacks poses a significant security threat. Though presentation attack …
Face spoofing detection based on local ternary label supervision in fully convolutional networks
Face verification systems are prone to spoofing attacks on photos, videos, and 3D masks.
Face spoofing detection, ie, face anti-spoofing, face liveness detection, or face presentation …
Face spoofing detection, ie, face anti-spoofing, face liveness detection, or face presentation …
Client-specific anomaly detection for face presentation attack detection
One-class anomaly detection approaches are particularly appealing for use in face
presentation attack detection (PAD), especially in an unseen attack scenario, where the …
presentation attack detection (PAD), especially in an unseen attack scenario, where the …