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A hybrid color space for skin recognition for real-time applications

Color space conversion utilized by many researchers in order to enhance skin recognition performance by projecting the skin color cluster to a more distinctive distribution. In spite of the substantial research effort in this area, finding a suitable color space for face and skin recognition is stil...

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Main Authors:	Oghaz, M. M., Maarof, M. A., Rohani, M. F., Zainal, A., Mohd Shaid, S. Z.
Format:	Article
Published:	American Scientific Publishers 2017
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utm.my/id/eprint/80797/
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id	my.utm.80797
record_format	eprints
spelling	my.utm.807972019-06-27T07:02:08Z http://eprints.utm.my/id/eprint/80797/ A hybrid color space for skin recognition for real-time applications Oghaz, M. M. Maarof, M. A. Rohani, M. F. Zainal, A. Mohd Shaid, S. Z. QA75 Electronic computers. Computer science Color space conversion utilized by many researchers in order to enhance skin recognition performance by projecting the skin color cluster to a more distinctive distribution. In spite of the substantial research effort in this area, finding a suitable color space for face and skin recognition is still an unsolved issue. Deviation of skin tone under different lighting condition, dissimilarity of skin color among different ethnics and races, various camera sensors characteristics, presence of skin-like color objects in image background and variation of skin color tone among different body limbs are among the major challenges in skin recognition. Majority of these challenges are expected to be mitigated through color space conversion. This paper proposes a new hybrid color space by applying Principal Component Analysis technique to skin color cluster in ten existing conventional color spaces including RGB, YCbCr , YUV, nRGB, i1i2i3, YIQ, XYZ, YPbPr , YES, YCgCr . The proposed hybrid color space which termed P1P2P3 consist of the three major Principal Components of these conventional color spaces components. Using Algebraic simplification these principal component has been reformulated in terms of RGB color space. Parametric pixel wised skin detection techniques have been employed in order to evaluate the proposed color space effect on skin detection performance. Three popular supervised classifiers including Multilayer Perceptron, Support Vector Machine and Random Forest has been employed to generate a parametric model of skin color cluster using the proposed color space. Experiment results shows the proposed hybrid color space P1P2P3 with F -score and False Positive Rate 0.960 and 0.041 respectively performed better than the existing conventional color spaces in term of pixel wised skin recognition. American Scientific Publishers 2017 Article PeerReviewed Oghaz, M. M. and Maarof, M. A. and Rohani, M. F. and Zainal, A. and Mohd Shaid, S. Z. (2017) A hybrid color space for skin recognition for real-time applications. Journal of Computational and Theoretical Nanoscience, 14 (4). pp. 1852-1861. ISSN 1546-1955
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Oghaz, M. M. Maarof, M. A. Rohani, M. F. Zainal, A. Mohd Shaid, S. Z. A hybrid color space for skin recognition for real-time applications
description	Color space conversion utilized by many researchers in order to enhance skin recognition performance by projecting the skin color cluster to a more distinctive distribution. In spite of the substantial research effort in this area, finding a suitable color space for face and skin recognition is still an unsolved issue. Deviation of skin tone under different lighting condition, dissimilarity of skin color among different ethnics and races, various camera sensors characteristics, presence of skin-like color objects in image background and variation of skin color tone among different body limbs are among the major challenges in skin recognition. Majority of these challenges are expected to be mitigated through color space conversion. This paper proposes a new hybrid color space by applying Principal Component Analysis technique to skin color cluster in ten existing conventional color spaces including RGB, YCbCr , YUV, nRGB, i1i2i3, YIQ, XYZ, YPbPr , YES, YCgCr . The proposed hybrid color space which termed P1P2P3 consist of the three major Principal Components of these conventional color spaces components. Using Algebraic simplification these principal component has been reformulated in terms of RGB color space. Parametric pixel wised skin detection techniques have been employed in order to evaluate the proposed color space effect on skin detection performance. Three popular supervised classifiers including Multilayer Perceptron, Support Vector Machine and Random Forest has been employed to generate a parametric model of skin color cluster using the proposed color space. Experiment results shows the proposed hybrid color space P1P2P3 with F -score and False Positive Rate 0.960 and 0.041 respectively performed better than the existing conventional color spaces in term of pixel wised skin recognition.
format	Article
author	Oghaz, M. M. Maarof, M. A. Rohani, M. F. Zainal, A. Mohd Shaid, S. Z.
author_facet	Oghaz, M. M. Maarof, M. A. Rohani, M. F. Zainal, A. Mohd Shaid, S. Z.
author_sort	Oghaz, M. M.
title	A hybrid color space for skin recognition for real-time applications
title_short	A hybrid color space for skin recognition for real-time applications
title_full	A hybrid color space for skin recognition for real-time applications
title_fullStr	A hybrid color space for skin recognition for real-time applications
title_full_unstemmed	A hybrid color space for skin recognition for real-time applications
title_sort	hybrid color space for skin recognition for real-time applications
publisher	American Scientific Publishers
publishDate	2017
url	http://eprints.utm.my/id/eprint/80797/
_version_	1643658519794155520
score	13.211869

A hybrid color space for skin recognition for real-time applications

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