FUZZY FACE MODEL FOR FACE DETECTION USING EYES AND MOUTH FEATURES

Face detection is a necessary first-step in face recognition systems, with the purpose of localizing and extractingthe face region from the background. It also has several applications in areas such as content-based image retrieval, videocoding, video conferencing, crowd surveillance, and intelligent human–computer interfaces. In this paper, we propose a novelapproach for the detection of human face in a digital image based on the fuzzy spatial interrelationships of only the prominentfacial features of the face, namely, eyes and mouth. A fuzzy face model is constructed for the face detection algorithm. Theexperimentation has been done using several face databases. The experimental results show that the proposed algorithm performssatisfactorily with an average accuracy of 96.10% and is efficient in terms of accuracy and detection time despite the exclusion ofother facial features, namely, nose, eyebrows and ears.