Video-Based Facial Recognition to Accurately Identify People Wearing Surgical Masks: Design and Architecture
Keywords:
Video-Based Facial Recognition, COVID-19, surgical maskAbstract
During the COVID-19 epidemic, wearing face masks is recommended or required by government in every country. Current, video-based facial recognition systems are ineffective at recognizing faces behind a surgical mask. The purposes of this study are 1) to design the architecture of a Video-Based Facial Recognition system developed to accurately identify people wearing a mask. 2) to develop a Video-Based Facial Recognition system for accurately identifying people wearing masks. This research describes a design and architecture that significantly improves face matching performance.
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