Face detection system based on feature-based chrominance colour information

• Main Authors: Chan, Y. H., Syed Abu Bakar, Syed Abdul Rahman
• Format: Book Section
• Language: English
• Published: IEEE 2004
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/2045/1/Chan2004_FaceDetectionSystem.pdf; http://eprints.utm.my/id/eprint/2045/; http://ieeexplore.ieee.org/document/1323977/

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.