Deep Learning Approach for Masked Face Identification

Covid-19 is a global health emergency and major concern in the industrial residential sectors. It has ability to spread leading problems or death. Wearing mask public locations busy areas most effective COVID-19 prevention measure. Face recognition provides an accurate method that overcomes uncertainties such as false prediction, high cost, time consumption, it understood primary identification for every human being his face. As result, masked face required solve issue of recognizing individuals with masks several applications door access systems smart attendance systems. This paper offers important intelligent this issue. We propose deep transfer learning approach identification. created dataset masked-face images examined six convolutional neural network (CNN) models on dataset. All show great performance terms very accuracy short training time.