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 …
Learning deep models for face anti-spoofing: Binary or auxiliary supervision
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 …
Previous deep learning approaches formulate face anti-spoofing as a binary classification …
Face liveness detection using artificial intelligence techniques: A systematic literature review and future directions
Biometrics has been evolving as an exciting yet challenging area in the last decade. Though
face recognition is one of the most promising biometrics techniques, it is vulnerable to …
face recognition is one of the most promising biometrics techniques, it is vulnerable to …
Face anti-spoofing using patch and depth-based CNNs
Y Atoum, Y Liu, A Jourabloo… - 2017 IEEE international …, 2017 - ieeexplore.ieee.org
The face image is the most accessible biometric modality which is used for highly accurate
face recognition systems, while it is vulnerable to many different types of presentation …
face recognition systems, while it is vulnerable to many different types of presentation …
Deep tree learning for zero-shot face anti-spoofing
Y Liu, J Stehouwer, A Jourabloo… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
Face anti-spoofing is designed to keep face recognition systems from recognizing fake faces
as the genuine users. While advanced face anti-spoofing methods are developed, new …
as the genuine users. While advanced face anti-spoofing methods are developed, new …
Deep spatial gradient and temporal depth learning for face anti-spoofing
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 …
learning has been proven as one of the most effective methods for face anti-spoofing …
Face anti-spoofing: Model matters, so does data
Face anti-spoofing is an important task in full-stack face applications including face
detection, verification, and recognition. Previous approaches build models on datasets …
detection, verification, and recognition. Previous approaches build models on datasets …
Adaptive transformers for robust few-shot cross-domain face anti-spoofing
While recent face anti-spoofing methods perform well under the intra-domain setups, an
effective approach needs to account for much larger appearance variations of images …
effective approach needs to account for much larger appearance variations of images …
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 …
Learning multi-granularity temporal characteristics for face anti-spoofing
Face anti-spoofing (FAS) is essential for securing face recognition systems. Despite the
decent performance, few existing works fully leverage temporal information. This would …
decent performance, few existing works fully leverage temporal information. This would …