| The rapid evolutions of digital information and Internet rise new demands for safety of country and social life. In this situation, traditional safety technologies show incompetent. Biological authentication technology is one of the best ways to solve the safety issue appearing with the development of digital information and Internet. Among these technologies, because of the merits such as directness, quick recognition, high performance, high safety, easy use, and no impingement, face recognition has many applications in the fields of police, safety protection, bank, and net information safety.The process of face recognition includes three steps: face detection, locating characteristics of face, face characteristics extraction and recognition. Among them, these detection is the most fundamental and important one.This paper researches on some popular algorithms inside and outside of our country. Meanwhile, these algorithms are comparably analyzed about their merits and shortcomings. We rise a rapid detection and tracking algorithm based on the color and character of human face. A prototype of the system applicable to the examination of the actual online network authentication. In this paper as an ordinary PC camera image acquisition equipment to collect the data source for streaming video, video streaming interception in the single-frame images, through the conversion of color space, color modeling Face, after handling Face positioning realized through Image mosaics, edge extraction, notable feature points, and the setting of technical positioning of the Face Image feature points. On the basis of this position through the eyes achieved in video streaming in the face tracking algorithm research.Test results show that we are realizing the face detection and tracking algorithm applied to the face at close range detection, positioning speed, low error rate seized, can be used to test network authentication. |
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