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Contourlet Transform for Iris Image Segmentation
International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 60 - Number 10
Year of Publication: 2012
|
10.5120/9732-4209 |
Behrooz Zali-vargahan, Mehdi Chehel Amirani and Hadi Seyedarabi. Article: Contourlet Transform for Iris Image Segmentation. International Journal of Computer Applications 60(10):41-44, December 2012. Full text available. BibTeX
@article{key:article,
author = {Behrooz Zali-vargahan and Mehdi Chehel Amirani and Hadi Seyedarabi},
title = {Article: Contourlet Transform for Iris Image Segmentation},
journal = {International Journal of Computer Applications},
year = {2012},
volume = {60},
number = {10},
pages = {41-44},
month = {December},
note = {Full text available}
}
Abstract
The aim of this paper is improving the iris segmentation with the Contourlet transform. At first iris segmentation performed by canny edge detector and Hough Transform. By this approach some images don't segmented properly, so we want to find a way to correct the image segmentation failures. Before applying edge detector, Contourlet transform applied for image denoising. By this approach, %100 accuracy rate in iris image segmentation is obtained. Denoised image with Contourlet transform a little blurred. After image denoised and image segmented, for keep basic quality of the image, corresponded basic image and the segmented image. So, segmentation will be right on the main image.
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