Abstract
In this paper, we propose a novel approach for detecting human faces in a complex background scene. This method is robust and based on our enhanced hausdorff distance. A major aim of this research is to achieve a highly efficient method of face detection that can be used in any real time applications. In addition, our approach produces a very reliable and accurate result. The whole algorithm is composed of three main modules: robust skin detection using Fuzzy HSCC, face similarity measure using RAMHD, and facial feature detection using SVM. Moreover, a technique of automatically updating the size of an elliptical model is also introduced. The results will be shown with real images.
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