A comprehensive overview of biometric fusion
The performance of a biometric system that relies on a single biometric modality (eg,
fingerprints only) is often stymied by various factors such as poor data quality or limited …
fingerprints only) is often stymied by various factors such as poor data quality or limited …
Face morphing attack generation and detection: A comprehensive survey
Face recognition has been successfully deployed in real-time applications, including secure
applications such as border control. The vulnerability of face recognition systems (FRSs) to …
applications such as border control. The vulnerability of face recognition systems (FRSs) to …
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 …
Fm-vit: Flexible modal vision transformers for face anti-spoofing
The availability of handy multi-modal (ie, RGB-D) sensors has brought about a surge of face
anti-spoofing research. However, the current multi-modal face presentation attack detection …
anti-spoofing research. However, the current multi-modal face presentation attack detection …
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 …
Face anti-spoofing via adversarial cross-modality translation
Face Presentation Attack Detection (PAD) approaches based on multi-modal data have
been attracted increasingly by the research community. However, they require multi-modal …
been attracted increasingly by the research community. However, they require multi-modal …
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 …
Cross modal focal loss for rgbd face anti-spoofing
Automatic methods for detecting presentation attacks are essential to ensure the reliable use
of facial recognition technology. Most of the methods available in the literature for …
of facial recognition technology. Most of the methods available in the literature for …
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 …
Contrastive context-aware learning for 3d high-fidelity mask face presentation attack detection
Face presentation attack detection (PAD) is essential to secure face recognition systems
primarily from high-fidelity mask attacks. Most existing 3D mask PAD benchmarks suffer from …
primarily from high-fidelity mask attacks. Most existing 3D mask PAD benchmarks suffer from …