Pupil Center Location Based on Skin Color Segmentation and Radial Symmetry Transform

DOI

10.2991/iccmcee-15.2015.194How to use a DOI?

Keywords

Face Detection, Skin Color Segmentation, Background Similar Skin Color Area Removal, Eye Detection. Radial Symmetry Transform

Abstract

To realize the eye pupil center location in color face image, a new algorithm based on skin color segmentation and radial symmetry transform is proposed. The algorithm makes full use of the pupil and the surrounding region’s gradient variation characteristics and radial symmetry characteristic, which can effectively solve the interference factors such as uneven spot, frame. Step: First, use the skin color model to detect the face region, and then remove the small block of the background with similar skin color by morphological opening operation and area comparison filtering method. Then, use the horizontal integral projection to determine the candidate eye regions. Finally, apply the radial symmetry transform to the candidate eye region to locate pupil center. Experimental results show that the proposed algorithm has good localization effect, and has strong robustness to various disturbances.

Copyright

© 2015, 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  - Wei Wei
AU  - YuJing Zhou
AU  - Jingran Zhou
AU  - Zhenxi Zhang
PY  - 2015/11
DA  - 2015/11
TI  - Pupil Center Location Based on Skin Color Segmentation and Radial Symmetry Transform
BT  - Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 1033
EP  - 1039
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccmcee-15.2015.194
DO  - 10.2991/iccmcee-15.2015.194
ID  - Wei2015/11
ER  -