A novel DeepMaskNet model for face mask detection and masked facial recognition

Article


Ullah, N., Javed, A., Ghazanfar, M., Alsufyani, A. and Bourouis, S. 2022. A novel DeepMaskNet model for face mask detection and masked facial recognition. Journal of King Saud University - Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2021.12.017
AuthorsUllah, N., Javed, A., Ghazanfar, M., Alsufyani, A. and Bourouis, S.
Abstract

Coronavirus disease (COVID-19) has significantly affected the daily life activities of people globally. To prevent the spread of COVID-19, the World Health Organization has recommended the people to wear face mask in public places. Manual inspection of people for wearing face masks in public places is a challenging task. Moreover, the use of face masks makes the traditional face recognition techniques ineffective, which are typically designed for unveiled faces. Thus, introduces an urgent need to develop a robust system capable of detecting the people not wearing the face masks and recognizing different persons while wearing the face mask. In this paper, we propose a novel DeepMasknet framework capable of both the face mask detection and masked facial recognition. Moreover, presently there is an absence of a unified and diverse dataset that can be used to evaluate both the face mask detection and masked facial recognition. For this purpose, we also developed a largescale and diverse unified mask detection and masked facial recognition (MDMFR) dataset to measure the performance of both the face mask detection and masked facial recognition methods. Experimental results on multiple datasets including the cross-dataset setting show the superiority of our DeepMasknet framework over the contemporary models.

JournalJournal of King Saud University - Computer and Information Sciences
ISSN1319-1578
Year2022
PublisherElsevier
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Anyone
Digital Object Identifier (DOI)https://doi.org/10.1016/j.jksuci.2021.12.017
Publication dates
Online25 Jan 2022
Publication process dates
Accepted24 Dec 2021
Deposited03 Feb 2022
FunderTaif University
Copyright holder© 2021
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