Past, present, and future of face recognition: A review
I Adjabi, A Ouahabi, A Benzaoui, A Taleb-Ahmed - Electronics, 2020 - mdpi.com
Face recognition is one of the most active research fields of computer vision and pattern
recognition, with many practical and commercial applications including identification, access …
recognition, with many practical and commercial applications including identification, access …
Face morphing attack generation and detection: A comprehensive survey
Face recognition has been successfully deployed in real-time applications, including secure
applications such as border control. The vulnerability of face recognition systems (FRSs) to …
applications such as border control. The vulnerability of face recognition systems (FRSs) to …
Deep learning approaches for COVID-19 detection based on chest X-ray images
COVID-19 is a novel virus that causes infection in both the upper respiratory tract and the
lungs. The numbers of cases and deaths have increased on a daily basis on the scale of a …
lungs. The numbers of cases and deaths have increased on a daily basis on the scale of a …
[HTML][HTML] COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
Abstract Background and Objective: The COVID-19 can cause severe pneumonia and is
estimated to have a high impact on the healthcare system. Early diagnosis is crucial for …
estimated to have a high impact on the healthcare system. Early diagnosis is crucial for …
Spoofing detection system for e-health digital twin using EfficientNet Convolution Neural Network
Digital Twin is the mirror image of any living or non-living objects. Digital Twin and Cyber-
physical system (CPS) provides a new era for industries especially in the healthcare sector …
physical system (CPS) provides a new era for industries especially in the healthcare sector …
Face spoofing detection using colour texture analysis
Z Boulkenafet, J Komulainen… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Research on non-intrusive software-based face spoofing detection schemes has been
mainly focused on the analysis of the luminance information of the face images, hence …
mainly focused on the analysis of the luminance information of the face images, hence …
Local binary features for texture classification: Taxonomy and experimental study
Abstract Local Binary Patterns (LBP) have emerged as one of the most prominent and
widely studied local texture descriptors. Truly a large number of LBP variants has been …
widely studied local texture descriptors. Truly a large number of LBP variants has been …
Face recognition systems under morphing attacks: A survey
U Scherhag, C Rathgeb, J Merkle, R Breithaupt… - IEEE …, 2019 - ieeexplore.ieee.org
Recently, researchers found that the intended generalizability of (deep) face recognition
systems increases their vulnerability against attacks. In particular, the attacks based on …
systems increases their vulnerability against attacks. In particular, the attacks based on …
Robust face recognition via multimodal deep face representation
C Ding, D Tao - IEEE transactions on Multimedia, 2015 - ieeexplore.ieee.org
Face images appearing in multimedia applications, eg, social networks and digital
entertainment, usually exhibit dramatic pose, illumination, and expression variations …
entertainment, usually exhibit dramatic pose, illumination, and expression variations …
Deep representations for iris, face, and fingerprint spoofing detection
Biometrics systems have significantly improved person identification and authentication,
playing an important role in personal, national, and global security. However, these systems …
playing an important role in personal, national, and global security. However, these systems …