Masked Face Recognition Using Transfer Learning and the Random Forest Algorithm
摘要
In the last few years, there has been an exponential growth in the research of masked face recognition and has gathered the attention of many enthusiasts working in the field of machine learning. This is due to the increase in security threats from burglars, and it became more prevalent during the COVID-19 era as the existing face recognition modes were incapable of detecting and recognizing a user with a mask. One of the main reasons for this is that it is difficult to identify a person by their face without knowing who they are. Since it is difficult for humans to identify a person's face when it is covered, this technology will be used as a substitute for human security guards.