Face detection system based on feature-based chrominance colour information
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...
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| Main Authors: | , |
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| Format: | Book Section |
| Language: | English |
| Published: |
IEEE
2004
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| Subjects: | |
| 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/ |
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| Summary: | 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. |
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