An anomaly detection approach to face spoofing detection: A new formulation and evaluation protocol
Face spoofing detection is commonly formulated as a two-class recognition problem where
relevant features of both positive (real access) and negative samples (spoofing attempts) are …
relevant features of both positive (real access) and negative samples (spoofing attempts) are …
A deep learning iris recognition method based on capsule network architecture
T Zhao, Y Liu, G Huo, X Zhu - IEEE Access, 2019 - ieeexplore.ieee.org
Iris recognition is one of the most representative identification technologies in biometric
recognition, which is widely used in various fields. Recently, many deep learning methods …
recognition, which is widely used in various fields. Recently, many deep learning methods …
Detecting silicone mask-based presentation attack via deep dictionary learning
In movies, film stars portray another identity or obfuscate their identity with the help of
silicone/latex masks. Such realistic masks are now easily available and are used for …
silicone/latex masks. Such realistic masks are now easily available and are used for …
An end to end deep neural network for iris segmentation in unconstrained scenarios
With the increasing imaging and processing capabilities of today's mobile devices, user
authentication using iris biometrics has become feasible. However, as the acquisition …
authentication using iris biometrics has become feasible. However, as the acquisition …
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 …
Deep learning for iris recognition: A survey
In this survey, we provide a comprehensive review of more than 200 articles, technical
reports, and GitHub repositories published over the last 10 years on the recent …
reports, and GitHub repositories published over the last 10 years on the recent …
LivDet iris 2017—Iris liveness detection competition 2017
Presentation attacks such as using a contact lens with a printed pattern or printouts of an iris
can be utilized to bypass a biometric security system. The first international iris liveness …
can be utilized to bypass a biometric security system. The first international iris liveness …
Deep learning techniques for biometric security: A systematic review of presentation attack detection systems
Biometric technology, including finger vein, fingerprint, iris, and face recognition, is widely
used to enhance security in various devices. In the past decade, significant progress has …
used to enhance security in various devices. In the past decade, significant progress has …
Transfer learning using convolutional neural networks for face anti-spoofing
Face recognition systems are gaining momentum with current developments in computer
vision. At the same time, tactics to mislead these systems are getting more complex, and …
vision. At the same time, tactics to mislead these systems are getting more complex, and …
Slim-ResCNN: A deep residual convolutional neural network for fingerprint liveness detection
Y Zhang, D Shi, X Zhan, D Cao, K Zhu, Z Li - IEEE Access, 2019 - ieeexplore.ieee.org
Fingerprint liveness detection has gradually been regarded as a primary countermeasure for
protecting the fingerprint recognition systems from spoof presentation attacks. The …
protecting the fingerprint recognition systems from spoof presentation attacks. The …