Issue |
ITM Web Conf.
Volume 16, 2018
AMCSE 2017 - International Conference on Applied Mathematics, Computational Science and Systems Engineering
|
|
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Article Number | 01003 | |
Number of page(s) | 4 | |
Section | Communications-Systems-Signal Processing | |
DOI | https://doi.org/10.1051/itmconf/20181601003 | |
Published online | 09 January 2018 |
Effect of DCT Image Compression on Eye Gaze Direction Detection
1
Electric and Electronic Engineering Department, Near East University, North Cyprus, Mersin 10 Turkey
2
Software Engineering Department, Near East University, North Cyprus, Mersin 10 Turkey
3
Computer Engineering Department, Near East University, North Cyprus, Mersin 10 Turkey
* Corresponding author: kamil.dimililer@neu.edu.tr
The prediction of eye direction detection is the one of the popular research topic in human computer interaction area. This paper defines eye gaze detection by using Discrete Cosine Transform. Actually, determining the position of eyes is difficult to estimate the location of gaze which is more challenging. The database of the suggested research is organized as gaze directions of right, left and centre. The database is created with varied ages of images. In this paper, Discrete Cosine Transform has been applied to the image database and the effect of image compression is tested by using back propagation neural networks.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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