Review of Face recognition algorithms
Yifan Wei · 2020
Face detection is one of the most relevant applications of image processing and biometric systems. In this paper, we summarized the procedure of face recognition and some common methods, including the face recognition based on Hidden Markov Model, geometrical features, and template matching. Hidden Markov Model mainly helps to discover the statistic relationship between each state to help with the face recognition; geometric feature of face images provides the information of the different parts on faces to help the identification process; and the face recognition based on template matching uses templates of different face regions to help with the face matching process.