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A Context-aware Approach for Detecting Skin Colored Pixels in Images

by Chandra Mani Sharma, Saurabh Saxena
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 71 - Number 17
Year of Publication: 2013
Authors: Chandra Mani Sharma, Saurabh Saxena
10.5120/12448-9146

Chandra Mani Sharma, Saurabh Saxena . A Context-aware Approach for Detecting Skin Colored Pixels in Images. International Journal of Computer Applications. 71, 17 ( June 2013), 8-13. DOI=10.5120/12448-9146

@article{ 10.5120/12448-9146,
author = { Chandra Mani Sharma, Saurabh Saxena },
title = { A Context-aware Approach for Detecting Skin Colored Pixels in Images },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 71 },
number = { 17 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 8-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume71/number17/12448-9146/ },
doi = { 10.5120/12448-9146 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:35:49.040597+05:30
%A Chandra Mani Sharma
%A Saurabh Saxena
%T A Context-aware Approach for Detecting Skin Colored Pixels in Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 71
%N 17
%P 8-13
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Detecting the human skin and its analysis has number of important applications. This is a challenging task as. in images, the skin color is quite sensitive to the chrominance and intensity of the pixels. So the techniques with a single model for skin fail to cope up with the variation in skin colors because of ethnicity, age, lighting etc. This paper proposes a novel technique for skin detection in color images. The proposed technique has two steps; (i) first the faces of humans are detected in the color images (ii) then based on the statistics captured from the sampling of the face area, the rest of the skin is detected. For face detection purpose, we train a binary classifier using machine learning approach. After face detection, the sampled pixels are matched to find the other exposed skin areas using an approach based on Gaussian model for skin.

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Index Terms

Computer Science
Information Sciences

Keywords

Skin Detection Image Processing Gaussian Models Face Recognition Multimedia

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