Abstract: Aiming to the shortcomings of exiting algorithm to obtain better color face image information for color facial image recognition, the LBPT algorithm was proposed to realize the high efficiency recognition of color face image. LBPT algorithm reflected the texture features of gray image through adaptively obtaining neighborhood radius, ascertaining the relationship between neighborhood radius and neighborhood pixel number, setting threshold. The RGB color model was used to separate the color face image into the R,G,B three component diagrams. The LBPT algorithm was used to obtain the feature of the component diagrams. In order to realize further recognition, the method of uncertainty was used to allocate weight to the feature of component diagrams and fuse them. Experiments show that the LBPT operator has certainly increased the recognition accuracy.

Key words: color image, face recognition, LBPT(Local Binary Parttern Threshold) algorithm, RGB, uncertainty