Feature-Based Human Faces Detection In Colored Complex Background Images

Abstract

In this paper, we present an efficient faces detection system that can locate human faces in colored complex background images. The design philosophy of this faces detection system is based on the knowledge of color information and the geometrical relations of facial features. At the first stage, we extract possible eye blocks by means of edge detection. Then the number of possible eye blocks is reduced using the color information. At the next stage, we propose some rules for pairing these blocks to generate possible face candidates by the geometrical relations of facial features. Finally, we again employ the color information and other facial features to eliminate false candidates. The experimental results prove that our approach is feasible and very quickly.