Designing an illumination effect canceling filter in facial images for multi-view face detection and recognition in images with complex background

This paper presents a novel approach for detection and recognition of multi-view faces whose location is unknown and the illumination conditions are varying. The illumination is a big problem in the face detection and recognition aspects. Our proposed method doesnpsilat use the skin color information for face detection. The detection of faces is accomplished after canceling the effect of the various illumination conditions. Two completely different methods are proposed for face detection in this paper. Because of the independency of the approaches to the facepsilas skin color, the persons with every kind of skin colors are detected even in completely dark environments. Next, the detected faces are recognized. The experiments have shown that we can combine some proposed aspects of the feature based methods with the eigenface method and get very successful results. The illumination dependency problem of the eigenface method has also been solved by a new methodology in this paper.