The technology of face recognition based on computer vision

Abstract

This paper presents a face recognition system design based on computer vision and the specific realization method, including the hardware structure, face recognition specific algorithm, drive, and software design and implementation of the application. The system uses ARM9 chip as the core, the built-in Linux operating system, a dual camera with external USB interface, combined with the application, the embedded 3D face recognition method combining with software and hardware technology is proposed. Introduction The identity authentication technology based on biological characteristics have rapid development in recent years, which, identity verification based on facial features is the most natural and direct mean, so the computer face recognition technology is one of the most active and challenging fields. Especially the superiority of the face recognition technology in non-con environment and situation without shocking the human being detected has already more than the identification method, like fingerprint and iris, and break the bottleneck of 2D face recognition, eliminates the influence of illumination, facial expression, and a series of factors. The technology of 3D face recognition has become a hot topic being studied by many scholars nowadays. With the continuous development of computer vision technology, face recognition technology based on computer vision is also in constant improvement. Overall design According to the characteristics of computer vision and face recognition technology and its application idea in the field of testing, this paper defines the general idea of face recognition technology based on computer vision. The whole process of embedded 3D computer vision face recognition is accomplished by a computer, the main work process is: face detection, facial feature location and face modeling and 3D face recognition. The design of system hardware The device selection, circuit design, sealing mode and system efficiency, accuracy, physical security and anti-attack ability has a direct relationship in face recognition technology based on computer vision, its structure as shown in figure 1.