A DISEASE GROUPING SYSTEM THROUGH THE FACE IMAGE

摘要

A disease grouping system through a face image for classifying the disease of a user through SVM is provided to prevent the deterioration of disease by previously classifying the disease of the user through SVM which is a kind of statistical classification method of data mining based on extracted facer image. A face image loading module(110) loads a face image. The face image extracting module extracts the face image by comparing pixel color difference signal values by each pixel of the loaded face image. A face range segmentation module(130) divides the extracted face image into the tile of the fixed number. A feature extraction module(140) extracts the average of the divided face image luminance value, a color difference signal value, a color tone value, a saturation value and a brilliance value and standard deviations as the specific value of corresponding face images. A normalization module(150) normalizes extracted face image feature.