A Method of Building Face Image Database Based on PCA

摘要

Face Recognition Technology is based on the facial features of human beings. It requires processing the image or video stream and analyzing the characteristics of face images. This article is a brief research on the impact of light and angle on the face recognition process, and uses the image processing technology such as compensating or reducing exposure, balancing contrast and shadow to reduce the standard uniform sample illumination of the image library. The standard face image database is built by use of multi-angle face image acquisition and storage methods. Then recognition program based on PCA tests the standard face image database. The results shows that standard face recognition database built by PCA can effectively solve the problems like shooting angle of face images and light effects, then enhance the recognition rate of face recognition system, the recognition rate reaches to 89.63%.