An Efficient Algorithm for Face Detection in Color Images

In this paper, we propose a novel approach for robust skin segmentation and face similarity measure. The proposed skin segmentation is a method for integrating the chrominance components of well-known color models. The goal of the method of skin detection is to select the appropriate color model for verifying the skin pixel under different lighting conditions and various types of skin color. The enhanced Hausdorff Distance, called RAMHD, is used to measure the similarity between the face edge and an elliptical model in the skin area. This method is very robust to the occlusions of the face edge. Finally, the results of face similarity measure will be improved by updating the elliptical model. We will show the performance of skin segmentation and face similarity measure with real images.