Hybrid Face Detection in Color Images
Mehrnaz Niazi, Shahram Jafari · 2010
Face detection, plays an important role in many applications such as face recognition, face tracking, human computer interface and video surveillance. In this paper we propose a Hybrid face detection algorithm that could detect faces in color images with different complex backgrounds and lights. Our method, first detect face regions using HAAR classifier over an entire image and generate candidates for next classifier. HAAR classifier, usually detect all the faces in image but also miss classified some none-face object as face. So we first use HAAR classifier to detect all possible regions for face candidate and after that we increase accuracy by using simple feature based method named HSV color model to eliminate miss classified none-faces.