Uniform color space based facial complexion recognition for Traditional Chinese Medicine

Face diagnosis of Traditional Chinese Medicine (TCM) is carried out by observing the facial complexion to obtain the disease diagnostic results. Color space based on human visual system will be more conducive to facial complexion recognition, which is more suitable to measure and distinguish facial complexion. Uniform color space based facial complexion recognition for TCM is proposed in this paper, which include: (1) the skin blocks in the human facial region are extracted by locating the eye position and mouth corner accurately; (2) the statistical characteristic of color histogram and the characteristic of aberration chromatic in Lab color space are introduced to extract the facial complexion feature; (3) the support vector machine (SVM) is used to evaluate the performance of facial complexion recognition. The experimental results show the proposed complexion feature can achieve good performance, with the facial complexion recognition rate up to 81%.