Face Detection via Color and Edge Information
Ravi Verma, Harish Kumar Shakya
Available Online April 2013.
- 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.
- 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 SP - 65 EP - 69 SN - 1951-6851 UR - https://www.atlantis-press.com/article/6279 ID - Verma2013/04 ER -