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: Chan, Y. H., Syed Abu Bakar, Syed Abdul Rahman
Format: Book Section
Language:English
Published: IEEE 2004
Subjects:
Online Access:http://eprints.utm.my/2045/
http://eprints.utm.my/2045/1/Chan2004_FaceDetectionSystem.pdf
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author Chan, Y. H.
Syed Abu Bakar, Syed Abdul Rahman
author_facet Chan, Y. H.
Syed Abu Bakar, Syed Abdul Rahman
author_sort Chan, Y. H.
building UTeM Institutional Repository
collection Online Access
description 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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format Book Section
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institution Universiti Teknologi Malaysia
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language English
last_indexed 2025-11-15T20:39:27Z
publishDate 2004
publisher IEEE
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spelling utm-20452017-09-06T08:56:39Z http://eprints.utm.my/2045/ Face detection system based on feature-based chrominance colour information Chan, Y. H. Syed Abu Bakar, Syed Abdul Rahman T Technology (General) 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. IEEE 2004-07 Book Section PeerReviewed application/pdf en http://eprints.utm.my/2045/1/Chan2004_FaceDetectionSystem.pdf Chan, Y. H. and Syed Abu Bakar, Syed Abdul Rahman (2004) Face detection system based on feature-based chrominance colour information. In: Proceedings International Conference On Computer Graphics, Imaging And Visualization. International Conference on Computer Graphics Imaging and Visualization . IEEE, USA, pp. 153-158. ISBN ISBN: 0769521789; 978-076952178-7 http://ieeexplore.ieee.org/document/1323977/ 10.1109/CGIV.2004.1323977
spellingShingle T Technology (General)
Chan, Y. H.
Syed Abu Bakar, Syed Abdul Rahman
Face detection system based on feature-based chrominance colour information
title Face detection system based on feature-based chrominance colour information
title_full Face detection system based on feature-based chrominance colour information
title_fullStr Face detection system based on feature-based chrominance colour information
title_full_unstemmed Face detection system based on feature-based chrominance colour information
title_short Face detection system based on feature-based chrominance colour information
title_sort face detection system based on feature-based chrominance colour information
topic T Technology (General)
url http://eprints.utm.my/2045/
http://eprints.utm.my/2045/
http://eprints.utm.my/2045/
http://eprints.utm.my/2045/1/Chan2004_FaceDetectionSystem.pdf