|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 60 - Issue 10 |
| Published: December 2012 |
| Authors: Behrooz Zali-Vargahan, Mehdi Chehel Amirani, Hadi Seyedarabi |
10.5120/9732-4209
|
Behrooz Zali-Vargahan, Mehdi Chehel Amirani, Hadi Seyedarabi . Contourlet Transform for Iris Image Segmentation. International Journal of Computer Applications. 60, 10 (December 2012), 41-44. DOI=10.5120/9732-4209
@article{ 10.5120/9732-4209,
author = { Behrooz Zali-Vargahan,Mehdi Chehel Amirani,Hadi Seyedarabi },
title = { Contourlet Transform for Iris Image Segmentation },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 60 },
number = { 10 },
pages = { 41-44 },
doi = { 10.5120/9732-4209 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A Behrooz Zali-Vargahan
%A Mehdi Chehel Amirani
%A Hadi Seyedarabi
%T Contourlet Transform for Iris Image Segmentation%T
%J International Journal of Computer Applications
%V 60
%N 10
%P 41-44
%R 10.5120/9732-4209
%I Foundation of Computer Science (FCS), NY, USA
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.