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Survey on Skin Tone Detection using Color Spaces

C. Prema, D. Manimegalai Published in

International Journal of Applied Information Systems
Year of Publication 2012
© 2010 by IJAIS Journal
10.5120/ijais12-450264
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  1. C.prema and D.manimegalai. Article: Survey on Skin Tone Detection using Color Spaces. International Journal of Applied Information Systems 2(2):18-26, May 2012. BibTeX

    @article{key:article,
    	author = "C.prema and D.manimegalai",
    	title = "Article: Survey on Skin Tone Detection using Color Spaces",
    	journal = "International Journal of Applied Information Systems",
    	year = 2012,
    	volume = 2,
    	number = 2,
    	pages = "18-26",
    	month = "May",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

Skin is arguably the most widely used primitive in human image processing research and computer vision with application ranging from face detection and person tracking to pornography filtering. It has proven to be useful and robust cue for detecting human parts in images since (i) it is invariant to orientation and size (ii) it gives extra dimension compared to gray scale methods and (iii) it is fast to process. The main problems with the robustness of skin color detection are however depends on illumination condition, it varies between individuals, many everyday life objects are skin color like and skin color is not unique. Environments comprehensive survey in this topic is missing. The work presented in this paper is a survey of the most frequently used methods and techniques and their numerical evaluation results.

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Keywords

Color Space Information, Color Transform, Image Segmentation, And Skin Detection.