Video-Based Facial Recognition Develop for Accurately Identify People Wearing Surgical Masks

During COVID-19 epidemic, governments around the world now recommend or require their citizens to cover the lower half of their faces in public places. The researchers investigated whether surgical face masks affected the performance of the Video-Based facial recognition system. The purposes of this study are 1) to study Video-Based Facial Recognition algorithm for accurately identify people wearing masks. 2) to design the architecture of the Video-Based Facial Recognition develop for accurately identify people wearing masks.3) to develop a Video-Based Facial Recognition develop for accurately identify people wearing masks. The researcher found that face masks have a large effect on human face matching performance. But our findings demonstrate that face masks hardly impair the ability of Video-Based Facial recognition systems, significantly.