A probabilistic neural network for face detection on segmented skin areas based on fuzzy rules

Abstract

In this paper, the problem of detection in color images is addressed. Unlike in recognition, where the classes to be discriminated are different faces, in detection, the two classes to be discriminated are face area and non-face area. A novel approach to detection is presented, which is based on a probabilistic neural network (PNN) specially trained for the identification of faces from skin areas within the image plane, which were previously located using fuzzy logic rules. The performance of the whole system was tested using 137 color image scenes with various illumination conditions containing human faces. The images were taken with a common digital camera, at a resolution of 1280/spl times/960 pixels. The PNN coupled with the fuzzy logic rules become the basis for developing a computer-based detection system, whose overall identification performance was 85.2%. One limitation of the system is that it is. restricted only in detection of frontal human faces.