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Congruency effects and individual differences in masked face recognition under limited feature visibility. [PDF]
Mem CognitRecognizing masked faces is a challenge. Researchers have explored congruency-based approaches to improve face matching, with promising results. Here, we investigated whether congruency between the encoding and the retrieval conditions can improve masked
Zhang M, Sauerland M, Sagana A.
europepmc +2 more sources
Spoofing Face Recognition With 3D Masks [PDF]
IEEE Transactions on Information Forensics and Security, 2014 Spoofing is the act of masquerading as a valid user by falsifying data to gain an illegitimate access. Vulnerability of recognition systems to spoofing attacks (presentation attacks) is still an open security issue in biometrics domain and among all biometric traits, face is exposed to the most serious threat, since it is particularly easy to access ...
Nesli Erdogmus, Sébastien Marcel
openaire +1 more source
Masked face recognition: Human versus machine
IET Biometrics, 2022 The recent COVID‐19 pandemic has increased the focus on hygienic and contactless identity verification methods. However, the pandemic led to the wide use of face masks, essential to keep the pandemic under control.
Naser Damer +5 more
doaj +1 more source
MFCosface: A Masked-Face Recognition Algorithm Based on Large Margin Cosine Loss
Applied Sciences, 2021 The world today is being hit by COVID-19. As opposed to fingerprints and ID cards, facial recognition technology can effectively prevent the spread of viruses in public places because it does not require contact with specific sensors.
Hongxia Deng +5 more
doaj +1 more source
MLFW: A Database for Face Recognition on Masked Faces
, 2022 As more and more people begin to wear masks due to current COVID-19 pandemic, existing face recognition systems may encounter severe performance degradation when recognizing masked faces. To figure out the impact of masks on face recognition model, we build a simple but effective tool to generate masked faces from unmasked faces automatically, and ...
Chengrui Wang +3 more
openaire +3 more sources
Cognitive Research, 2022 Use of face masks is one of the measures adopted by the general community to stop the transmission of disease during this ongoing COVID-19 pandemic. This wide use of face masks has indeed been shown to disrupt day-to-day face recognition.
Ricky V. Tso +2 more
doaj +1 more source
FocusFace: Multi-task Contrastive Learning for Masked Face Recognition
, 2021 SARS-CoV-2 has presented direct and indirect challenges to the scientific community. One of the most prominent indirect challenges advents from the mandatory use of face masks in a large number of countries.
Joao Ribeiro Pinto +11 more
core +1 more source
Extended evaluation of the effect of real and simulated masks on face recognition performance
IET Biometrics, 2021 Face recognition is an essential technology in our daily lives as a contactless and convenient method of accurate identity verification. Processes such as secure login to electronic devices or identity verification at automatic border control gates are ...
Naser Damer +4 more
doaj +1 more source
Masked Face Recognition Challenge: The InsightFace Track Report
, 2021 During the COVID-19 coronavirus epidemic, almost everyone wears a facial mask, which poses a huge challenge to deep face recognition. In this workshop, we organize Masked Face Recognition (MFR) challenge 1 and focus on bench-marking deep face recognition
Deng J, Guo J, An X, Zhu Z, Zafeiriou S.
europepmc +2 more sources
Mask-invariant Face Recognition through Template-level Knowledge Distillation
, 2021 The emergence of the global COVID-19 pandemic poses new challenges for biometrics. Not only are contactless biometric identification options becoming more important, but face recognition has also recently been confronted with the frequent wearing of ...
Huber, Marco +7 more
core +1 more source