Facial Feature Extraction for Application Program

In this paper suggests to define 20 facial features being used in practical program and the method of extraction of 20 facial features from 2D image. The experimental image is to be restricted to input one person's image, background of the image can be taken in anywhere, the lighting condition is not uniform, and there is no racial restriction. The suggested method is to seek facial candidate region by Harr Classifier and to decide eye candidate region and extract eye features by dilate operation then decide lip candidate region using the features. The relative color difference of a* in the L*a*b* color space was used to extract lip feature and to seek nose candidate region and detected 20 features from 2D image by analyzing end of nose. Key-Words: Feature Extraction, Color Space, Dilation, Harr Classification, a* Color Space