Proceedings of the Conference on Advances in Communication and Control Systems-2013

Face Detection via Color and Edge Information

Authors
Ravi Verma, Harish Kumar Shakya
Corresponding Author
Ravi Verma
Available Online April 2013.
Abstract
In this paper, an algorithm for segmenting skin regions in color images using color and edge information is presented. Skin colored regions are first detected using a Bayesian model of the human skin color. These regions are further segmented into skin region candidates that satisfy the homogeneity property of the human skin. We show that Bayesian skin color model outperforms many other models such as the piece-wise linear models, Gaussian models and model based on multilayer perceptions. Experimental results indicate that the proposed segmentation algorithm reduces false detection caused by background pixels having skin colors, and more significantly it is capable of separating true skin regions from falsely detected regions.
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Proceedings
Proceedings of the Conference on Advances in Communication and Control Systems-2013
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-90-78677-66-6
ISSN
1951-6851
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ravi Verma
AU  - Harish Kumar Shakya
PY  - 2013/04
DA  - 2013/04
TI  - Face Detection via Color and Edge Information
BT  - Proceedings of the Conference on Advances in Communication and Control Systems-2013
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://www.atlantis-press.com/article/6279
ID  - Verma2013/04
ER  -