Study on Complexion Recognition in TCM

摘要：

Based on complexion-viscera diagram in TCM (Traditional Chinese Medicine), a method for complexion recognition was proposed for the first time. Firstly, the sampling environment was standardized, and 68 common facial feature points were localized by AdaBoost and ASM algorithm. Second, the complexion features in LAB color space were extracted from 15 diagnostic feature points on complexion-viscera diagram by FCM clustering which separates the complexion feature from skin color. Finally, the complexion features were classified by SVM algorithm. This method can be applied to the automatic logic inference of face diagnosis in TCM. Experiments on a test set of 400 face images result an accuracy of 84.6％. Results prove the effectiveness and efficiency of this method.

关键词： TCM, AdaBoost ASM FCM SVM

作者: Wu Tunhua Bai Baogang Sun Fushun Zhou Changle Wang Ping

作者单位: School of Information & Engineering Wenzhou Medical College Wenzhou, Zhejiang Province, China School of Information Sci. & Tech.Xiamen University Xiamen, Fujian Province, China Dept. of Environmental Science Wenzhou Medical College Wenzhou, Zhejiang Province, China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering(计算机与通信技术在农业工程国际会议 CCTAE 2010)

会议地点: 成都

会议语种:英文

页码: 487-490

在线出版日期: 2010-06-12（万方平台首次上网日期，不代表论文的发表时间）