Face Detection Based on Fuzzy Granulation and Skin Color Segmentation

Face Detection is the process of determining the face location, size and number. Robust face detection in complex background is a challenging task. In this paper, a novel method based on skin color segmentation and classification with fuzzy information granulation (FIG) for robust and fast face detection in color images is proposed. In this method, firstly we use skin color segmentation to extract face candidates. After normalization of candidate faces, a fuzzy information granulation based classifier is used to classify face or non-face patterns. Experimental results show that this method is effective and fast with high accuracy in detecting faces in color images.