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Face detection system based on feature-based chrominance colour information

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2 Author(s)
Chan, Y.H. ; Dept. of Microelectron. & Comput. Eng., Universiti Teknologi Malaysia, Johor, Malaysia ; Abu-Bakar, S.A.R.

This paper presents a novel face detection system based on feature-based chrominance colour information from an image containing one face in indoor environment with non-uniform background. The face detection algorithm is based on the adapted chain code (ACC), eye detection and modified golden ratio (MGR). ACC is proposed to obtain a face boundary. MGR attempts to extract part of a face that includes eyes, eyebrows, nose and mouth, based on the detected eyes' positions. Experimental results show that the proposed algorithm is able to detect a face of near frontal with high accuracy. The database consists of faces with and without spectacles, wearing headscarf and without wearing headscarf.

Published in:

Computer Graphics, Imaging and Visualization, 2004. CGIV 2004. Proceedings. International Conference on

Date of Conference:

26-29 July 2004