Research on the Development of Face Recognition 

Sibo Huang, Song Hu, Yingxue Cai, Jia Chen , Hui Hu, Zhaoquan Cai* 

Huizhou University Huizhou, China

Abstract: Face recognition method is constructed based on certain similarity criteria and image feature ex-traction method, so as to realize the biometric extraction of human body, the face image is divided into different regions with special attributes, and the face is extracted to reflect the human face. Geometric characteristic quantity of partial information. Combining computer vision analysis method to simulate face pose expression information, realize 3D feature reconstruction of human face, and combine expert database and priori feature information to train and match samples to realize face feature point detection and recognition. Common face recognition algorithms include principal component feature analysis (PCA) and BP neural network (ANN) recognition. Wavelet analysis methods and so on, this paper analyzes the development of face recognition, describes the main face recognition algorithms, analyzes the performance of various face recognition algorithms, and carries out simulation tests on different face recognition algorithms. The research shows that face recognition algorithm based on wavelet analysis has advantages in recognition accuracy, and face recognition algorithm based on principal component analysis has superiority in time efficiency.

Keywords: face recognition; Image processing; Principal component Analysis; Wavelet Analysis; face feature extraction