Application Analysis of Face Recognition Technology Based on Computer Vision

Abstract

With the development of society, all parties are facing increasingly urgent requirements for fast and effective automatic identity verification. Since biological characteristics are intrinsic properties of humans, they have strong stability and individual differences, so they are an ideal basis for identity verification. Compared with biometrics such as fingerprints and iris, face recognition is more direct, friendly, and convenient to be accepted by users. Therefore, face recognition has become a current research hotspot in the field of pattern recognition and artificial intelligence. As an important part of human-computer interaction, the research of face detection and recognition technology has great theoretical significance and application value. In this paper, the face detection method based on skin color information and the face recognition algorithm based on the embedded hidden Markov model are deeply studied, and the development of the development of the face detection and recognition system, performance analysis and specific applications are done. Introduced. In this paper, the detection and positioning of the face and the extraction of facial features are carried out on the frontal color image: the feature vector extraction of the detected face region using the two-dimensional discrete cosine transform and the method based on the embedded hidden Markov model are proposed. Face recognition method. Experiments show that the method of using the embedded hidden Markov model based on two-dimensional discrete cosine transform for face recognition can make better use of the two-dimensional statistical characteristics of face images, and has high recognition efficiency and very high recognition efficiency. Good robustness; researched on the recognition of hand-drawn portraits of human faces, and proposed a novel algorithm for converting photo images into portraits; applied the face detection and recognition system to specific practices, and established An intelligent search system for the source of unknown corpses. This system provides strong technical support and guarantee for the public security department to detect cases, and has important research and development significance.