Face Detection via Color and Edge Information

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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 (CAC2S 2013)
PB  - Atlantis Press
SP  - 65
EP  - 69
SN  - 1951-6851
UR  - https://www.atlantis-press.com/article/6279
ID  - Verma2013/04
ER  -