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A review on face recognition systems: recent approaches and challenges
Face recognition is an efficient technique and one of the most preferred biometric modalities
for the identification and verification of individuals as compared to voice, fingerprint, iris …
for the identification and verification of individuals as compared to voice, fingerprint, iris …
A comprehensive survey on techniques to handle face identity threats: challenges and opportunities
The human face is considered the prime entity in recognizing a person's identity in our
society. Henceforth, the importance of face recognition systems is growing higher for many …
society. Henceforth, the importance of face recognition systems is growing higher for many …
Open-source face recognition frameworks: A review of the landscape
D Wanyonyi, T Celik - IEEE Access, 2022 - ieeexplore.ieee.org
From holistic low-dimension feature-based segmentation to deep polynomial neural
networks, Face Recognition (FR) accuracy has increased dramatically since its early days …
networks, Face Recognition (FR) accuracy has increased dramatically since its early days …
A survey in presentation attack and presentation attack detection
A Husseis, J Liu-Jimenez… - 2019 International …, 2019 - ieeexplore.ieee.org
Biometric-based recognition has been replacing conventional recognition methods in
security systems. Modern electronic devices such as smartphones and online services have …
security systems. Modern electronic devices such as smartphones and online services have …
Facial marks for enhancing facial recognition after plastic surgery
With technological innovations soaring high researchers are able to develop more efficient
and adaptable biometric recognition systems. Biometric systems work by matching different …
and adaptable biometric recognition systems. Biometric systems work by matching different …
Deep convolutional multi-informative metric correlation analysis with bottleneck attention module for face recognition in the wild
M Amrani - Multimedia Tools and Applications, 2024 - Springer
Feature representation and verification have always been a difficult problem in the
classification performance of Automatic Face Recognition in Unconstrained Conditions (AFR …
classification performance of Automatic Face Recognition in Unconstrained Conditions (AFR …
Deep facial recognition after medical alterations
Medical alterations on the facial region introduce skin consistency deviations amongst
images of the same individual, thus making face recognition after medical alterations …
images of the same individual, thus making face recognition after medical alterations …
[Књига][B] Face recognition technologies: Designing systems that protect privacy and prevent bias
Face recognition technologies (FRTs) have many practical security-related purposes, but
advocacy groups and individuals have expressed apprehensions about their use. This …
advocacy groups and individuals have expressed apprehensions about their use. This …
Recognition of surgically altered face images: an empirical analysis on recent advances
Biometric recognition plays a vital role in our daily lives. Face recognition is a subset of
biometric recognition. Face verification and identification processes are prone to plastic …
biometric recognition. Face verification and identification processes are prone to plastic …
Advancements in Machine Learning-Based Face Mask Detection: A Review of Methods and Challenges
M Shatnawi, K Alhanaee… - … Journal of Electrical …, 2023 - ijeer.forexjournal.co.in
Wearing face masks is crucial in various environments, particularly where there is high
potential of viral transmission. Proper wearing of face masks always is important in hospitals …
potential of viral transmission. Proper wearing of face masks always is important in hospitals …