Face Detection System Based on Feature-Based Chrominance Colour Information

Authors:
Y. H. Chan;S. A. R. Abu-Bakar
Affiliations:
Universiti Teknologi Malaysia;Universiti Teknologi Malaysia
Venue:
CGIV '04 Proceedings of the International Conference on Computer Graphics, Imaging and Visualization
Year:
2004

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Automated facial expression recognition – an integrated approach with optical flow analysis and Support Vector Machines

International Journal of Intelligent Systems Technologies and Applications

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Abstract

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 eyesý 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.