Face Detection Based on Multi Facial Feature using Fuzzy Logic

The goal of face detection is to locate all regions that contain a face. This paper has a simple face detection procedure, first to segment skin region from an image, and second, to decide these regions contain human face or not. Our procedure is based on hybrid skin color segmentation using three color spaces RGB, YCbCr and HIS and human face features using entropy. For the purpose of extracting feature, rather than looking at the whole image of the face, and put the entropy based on the selection of skin region, which selects high informative segments of the facial image, compared with entropy of ORL image using the Euclidean distance .Also the golden ratio and the size of skin region decide where this region is face or no through the fuzzy system. Fuzzy logic got great acceptance of the various fields therefore it used in this paper to cover the difference in the parameter of face. The method provides a suitable method for extracting information. The proposed method has been tested on various real images and its performance is found to be quite satisfactory with detection accuracy 94.74 %.