FACE DETECTION TECHNIQUE BASED ON SKIN COLOR AND FACIAL FEATURES

摘要

Face detection is an essential first step in face recognition systems with the purpose of localizing and extracting the face region from the background. Apart from increasing the efficiency of face recognition systems, face detection technique also opens up the door of opportunity for application areas such as content based image retrieval, video encoding, video conferencing, crowd surveillance and intelligent human computer interfaces. In this paper, we propose a new face detection approach which is capable of detecting human faces from complex backgrounds. A skin color modeling process is proposed to the face segmentation process. Image enhancement is then used to improve the features of face candidates before feeding to the face object classifier which is based on the modified Hausdorff distance. The overall performance of the face detection system is evaluated with a successful rate of 87.5%.