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 …

A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods

F Abdullakutty, E Elyan, P Johnston - Information fusion, 2021 - Elsevier
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 …

The effect of face masks and sunglasses on identity and expression recognition with super-recognizers and typical observers

E Noyes, JP Davis, N Petrov… - Royal Society open …, 2021 - royalsocietypublishing.org
Face masks present a new challenge to face identification (here matching) and emotion
recognition in Western cultures. Here, we present the results of three experiments that test …

The COVID-19 pandemic masks the way people perceive faces

E Freud, A Stajduhar, RS Rosenbaum, G Avidan… - Scientific reports, 2020 - nature.com
The unprecedented efforts to minimize the effects of the COVID-19 pandemic introduce a
new arena for human face recognition in which faces are partially occluded with masks …

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 …

Surgical face masks impair human face matching performance for familiar and unfamiliar faces

DJ Carragher, PJB Hancock - Cognitive research: principles and …, 2020 - Springer
In response to the COVID-19 pandemic, many governments around the world now
recommend, or require, that their citizens cover the lower half of their face in public …

Casia-surf: A large-scale multi-modal benchmark for face anti-spoofing

S Zhang, A Liu, J Wan, Y Liang, G Guo… - … and Identity Science, 2020 - ieeexplore.ieee.org
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 …

Unravelling robustness of deep learning based face recognition against adversarial attacks

G Goswami, N Ratha, A Agarwal, R Singh… - Proceedings of the AAAI …, 2018 - ojs.aaai.org
Deep neural network (DNN) architecture based models have high expressive power and
learning capacity. However, they are essentially a black box method since it is not easy to …

[HTML][HTML] Understanding the impact of face masks on the processing of facial identity, emotion, age, and gender

D Fitousi, N Rotschild, C Pnini, O Azizi - Frontiers in psychology, 2021 - frontiersin.org
The COVID-19 pandemic has introduced new challenges for governments and individuals.
Unprecedented efforts at reducing virus transmission launched a novel arena for human …

Wearing mask hinders emotion recognition, but enhances perception of attractiveness

P Parada-Fernández, D Herrero-Fernández… - Personality and …, 2022 - Elsevier
The current global pandemic situation due to the Covid-19 has implied several
consequences at all psychological levels. One of the main differences with respect to the pre …