Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)

Research on Methods of Human Eye Location

Authors
Qingwen Ma, Luqi Pan, Fusheng Liu
Corresponding Author
Qingwen Ma
Available Online July 2017.
DOI
https://doi.org/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.
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Proceedings
2017 International Conference on Computational Science and Engineering(ICCSE 2017)
Part of series
Advances in Computer Science Research
Publication Date
July 2017
ISBN
978-94-6252-404-0
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccse-17.2017.7How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2017 International Conference on Computational Science and Engineering(ICCSE 2017)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-17.2017.7
DO  - https://doi.org/10.2991/iccse-17.2017.7
ID  - Ma2017/07
ER  -