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 …
[HTML][HTML] 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 …
Rethinking domain generalization for face anti-spoofing: Separability and alignment
This work studies the generalization issue of face anti-spoofing (FAS) models on domain
gaps, such as image resolution, blurriness and sensor variations. Most prior works regard …
gaps, such as image resolution, blurriness and sensor variations. Most prior works regard …
Instance-aware domain generalization for face anti-spoofing
Face anti-spoofing (FAS) based on domain generalization (DG) has been recently studied to
improve the generalization on unseen scenarios. Previous methods typically rely on domain …
improve the generalization on unseen scenarios. Previous methods typically rely on domain …
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 …
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 …
[HTML][HTML] Face spoofing, age, gender and facial expression recognition using advance neural network architecture-based biometric system
Nowadays, the demand for soft-biometric-based devices is increasing rapidly because of the
huge use of electronics items such as mobiles, laptops and electronic gadgets in daily life …
huge use of electronics items such as mobiles, laptops and electronic gadgets in daily life …
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 …
Generative domain adaptation for face anti-spoofing
Face anti-spoofing (FAS) approaches based on unsupervised domain adaption (UDA) have
drawn growing attention due to promising performances for target scenarios. Most existing …
drawn growing attention due to promising performances for target scenarios. Most existing …
Face anti-spoofing via disentangled representation learning
Face anti-spoofing is crucial to security of face recognition systems. Previous approaches
focus on developing discriminative models based on the features extracted from images …
focus on developing discriminative models based on the features extracted from images …