Image Processing Methods for Face Recognition using Machine Learning Techniques

Abstract

The face is one of the simplest ways to distinguish one another's personal image. Face recognition is a personal identification system which uses a person's personal features to recognize the identity of the individual. Human facial identification is basically a two-phase procedure, including face detection, where the process is carried out very rapidly in people, whereas the second is the implementation of environments that classify the face as persons, when the eye is positioned within a short distance. Stage is then repeated and established to be one of the most researched biometric strategies and established by experts for facial expression recognition. In this study, we implemented the area of face detection and face recognition image processing MTCNN techniques while utilizing the VGG face model dataset. In this initiative, python framework is the program necessity.