Abstract:

With the significant increasing demand of automatic and high-accuracy identify verification technology from various sectors of society, many research have made great development on biometric identification technology in the last decades. As one kind of biometric feature, human faces have strong stability and identity-variance. Furthermore, face recognition has characters such as non-obligatory, non-contact and concurrency, which lead it to an ideal evidence to automatic identification. This paper briefly introduces the pipeline of face verification algorithms for applications on population information analysis, and then makes some research on the key points and key technologies respectively. Firstly this paper briefly introduces the background and significance of face verification applications. Secondly, with respect to three key technologies of face detection, face alignment and face recognition, this paper introduces the basic principles, process pipeline, research situation and existing problems, respectively, and finally gives a simple summary.

Key words: face verification, face detection, face recognition