Research on Methods of Human Eye Location

DOI

10.2991/iccse-17.2017.7How to use a DOI?

Keywords

Eye location; Face recognition; Gabor transform; Image expansion

Abstract

Because of the poor anti-interference ability of the traditional eye location method, a new method of eye location based on Gabor transform is proposed in this study. The method firstly processes the image by Gabor filtering, and then expands the image so that the area of the face contour is connected. Finally, in order to display the human eye fully, secondary expansion is needed, so that the expanded human eye region can completely contain the human eye and present the original image and part of the human eye image. The experimentsl results show that this method can eliminate some interference regions and locate eyes accurately and effectively.

Copyright

© 2017, 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  - Qingwen Ma
AU  - Luqi Pan
AU  - Fusheng Liu
PY  - 2017/07
DA  - 2017/07
TI  - Research on Methods of Human Eye Location
BT  - Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)
PB  - Atlantis Press
SP  - 36
EP  - 39
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-17.2017.7
DO  - 10.2991/iccse-17.2017.7
ID  - Ma2017/07
ER  -