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    A Framework for Mask-Wearing Recognition in Complex Scenes for Different Face Sizes

    Hanan A. Hosni Mahmoud, Amal H. Alharbi, Norah S. Alghamdi*

    Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 1153-1165, 2022, DOI:10.32604/iasc.2022.022359

    Abstract People are required to wear masks in many countries, now a days with the Covid-19 pandemic. Automated mask detection is very crucial to help identify people who do not wear masks. Other important applications is for surveillance issues to be able to detect concealed faces that might be a safety threat. However, automated mask wearing detection might be difficult in complex scenes such as hospitals and shopping malls where many people are at present. In this paper, we present analysis of several detection techniques and their performances. We are facing different face sizes and orientation, therefore, we propose one technique… More >

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