In the era of network multidimensional information access, face recognition has recently received a great deal of attention. Face recognition technology has applications in fields like computer networks, content indexing and retrieval, and video capture since "humans" frequently form the focal point of videos. Face recognition control of network access improves user friendliness while essentially reducing the likelihood of one's "password" being stolen by hackers. Users like news anchors, political scientists, even moviegoers will find it beneficial to categorize or retrieve actual footage based on the appearance of certain people. The aid of face recognition software also offers a more effective coding system for the purposes of videophone and teleconferencing. The author provide an explanation to this advanced information processing approach in this study. The research demonstrates to the readers the common guideline for the face recognition system as well as the variations that the expression recognizer usually experiences.