Performance evaluation of state-of-the-art 2D face recognition algorithms on real and synthetic masked face datasets

Face recognition systems based on Convolutional neural networks have recorded unprecedented performance for multiple benchmark face datasets. Due to the Covid-19 outbreak, people are now compelled to wear face masks to reduce the virus's transmissibility. Recent research shows that when given t...

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Bibliographic Details

Main Authors:	Khan, Mohammad Amir, Faizabadi, Ahmed Rimaz, Rashid, Muhammad Mahbubur, Zaki, Hasan Firdous
Format:	Article
Language:	en en
Published:	Semarak Ilmu Publishing 2023
Subjects:	TK4125 Electric lighting
Online Access:	http://irep.iium.edu.my/104590/1/ARASETV30_N2_P225_242%20%281%29.pdf http://irep.iium.edu.my/104590/7/104590_Performance%20Evaluation%20of%20State-of-The-Art%202D%20Face%20Recognition%20Algorithms%20on_Scopus.pdf http://irep.iium.edu.my/104590/ https://semarakilmu.com.my/journals/index.php/applied_sciences_eng_tech/article/view/1467/1221
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