A new approach for finding face features in color images

This paper considers the problem of finding facial features in frontal color images by offering a method for efficient detection. For a given image, our method firstly detects the skin regions on by color segmentation. This segmentation is performed in a 2D projection of the selected color space (HSV, YES, YCrCb or normalized RGB). After that face candidates are found. Then we apply fuzzy mathematical morphology methods to locate precisely the right eyebrow (if exists). Thus we obtain a meaningful feature. A computer implementation in MATLAB is made for experimentation. The visual results of the experiments show the plausibility of proposed techniques.