Face Feature Weighted by Fusing Texture and Shape

Textural and structural characteristics are two of the principal features of human faces，both of which have advantages and disadvantages for face recognition. In this paper，we propose a Gaussian weights based new feature combined with texture feature and structure feature approach. In this method，we first use a standard fiducial point detector to locating five face key-points(e. g.，the mid-point of the eye)，and then a new feature will be generated dynamically by weighting the gray value of the pixel according to the distance between the pixel and its relative key-point. The new feature，originated from the texture feature，ties the geometric structural feature of the pixels and the key-point information and delivers better performance than the original texture feature for pose variations.Meanwhile，the five key-points are beneficial to part-based face recognition. Experimental results show that the new feature can improve recognition rates by about 5%than the original texture feature，and improved the part-based method by combining the new feature and the face blocking;achieving recogni-tion rates close to 100%for two different available databases.