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Pixel-based skin colour detection techniques evaluation


Mharib, Ahmed M. and Marhaban, Mohammad Hamiruce and Ramli, Abdul Rahman (2007) Pixel-based skin colour detection techniques evaluation. Pertanika Journal of Science & Technology, 15 (2). pp. 131-137. ISSN 0128-7680; ESSN: 2231-8526

Abstract / Synopsis

Skin detection has gained popularity and importance in the computer vision community. It is an essential step for important vision tasks such as the detection, tracking and recognition of face, segmentation of hand for gesture analysis, person identification, as well as video surveillance and filtering of objectionable web images. All these applications are based on the assumption that the regions of the human skin are already located. In the recent past, numerous techniques for skin colour modeling and recognition have been proposed. The aims of this paper are to compile the published pixel-based skin colour detection techniques to describe their key concepts and try to find out and summarize their advantages, disadvantages and characteristic features.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Publisher: Universiti Putra Malaysia Press
Keywords: Skin colour detection; Computer vision community; Pixel-based methods
Depositing User: Noor Syafini Zamani
Date Deposited: 20 Nov 2015 09:57
Last Modified: 20 Nov 2015 09:57
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