Research On Some Problems Of Face Recognition

The so-called face recognition is the face classification by firstly using certain algorithm to extract face features and then matching face features, which includes face tracking, face detecting, face feature detecting, face recognition, emotion analysis, an so on. Taking the key scientific and technological project of Henan province"The development of the binocular vision surveillance system"and Henan innovation project for university prominent research talents"The distributed image segmentation based on the PGF and fuzzy technology"as the research background, this thesis devotes main efforts to the research of some problems of the face recognition (especially the problem of the eyes location), mainly including:(1) Considering the eyes location in gray image with complex background, an improved method of human eyes location is presented based on the threshold. First, the initial threshold is obtained from the balanced-processing image. Second, the binarization of the balanced-processing image is done by increasing the threshold gradually, and the black blocks appearing in the binary image are marked one by one. Third, the possible areas of eyes are determined according to the rule of eye's position. At last, the two marked black blocks representing the eye's areas are fixed by making use of similarity. Simulation results illustrate the effectiveness of the algorithm.(2) By combining the excellence biology property of Gabor wavelet and the decreasing dimension ability of 2DPCA, a new method of face recognition is put forward based on the Gabor wavelet and 2DPCA. The comparison simulations between the method based on the Gabor wavelet and 2DPCA and the one based on the Gabor wavelet and PCA show that the former has the good recognition performance for the face image.(3) The method of face recognition based on the Gabor wavelet and support vector machine has been analyzed in details, which results in that some problems, such as the selection of the cumulative contribution rate in the principle component analysis, the choice of the order of polynomial kernel function, and the determination of the decision...