Abstract: Face recognition has been a complex and difficult problem that is important for surveillance and security, telecommunications, digital libraries, and human-computer intelligent interactions. Based on understanding wide variety algorithms,this paper presented a Multi-way integration optimization algorithm for detection and localization of pure face in color images. First, to an input color image, skin color detection and preprocessing rules was adopted firstly to reduce the face detection searching regions. Secondly a method that can detect arbitrary rotated face within the image plane was proposed based on the computation of the direction of the object. Thirdly, to determine the angle of the rotated face region accurately, a method that compute the rotated angle again was proposed. Finally, the two eyes in the face candidate region was determined by projection function, and then the "pure face" position combining with the proportion of the face features was determined, the sideview face was also considered. hhe experiments showed that the proposed method provides more better detection results to arbitrary rotated faces within the image plane and sidwiew faces with two eyes,and more better robust under different illumination.

Key words: Face detection, Template matching, Integral projection, Color space, Pure face