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Iris Recognition based on Radon Transform

by Pravin S. Patil
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 132 - Number 12
Year of Publication: 2015
Authors: Pravin S. Patil
10.5120/ijca2015907627

Pravin S. Patil . Iris Recognition based on Radon Transform. International Journal of Computer Applications. 132, 12 ( December 2015), 25-30. DOI=10.5120/ijca2015907627

@article{ 10.5120/ijca2015907627,
author = { Pravin S. Patil },
title = { Iris Recognition based on Radon Transform },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 132 },
number = { 12 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 25-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume132/number12/23648-2015907627/ },
doi = { 10.5120/ijca2015907627 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:29:13.210158+05:30
%A Pravin S. Patil
%T Iris Recognition based on Radon Transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 132
%N 12
%P 25-30
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The iris image has been viewed as a texture image. Radon transform has been used for detecting essential lines and curves present in iris texturesThe Radon transformed iris image is divided into distinct non-overlapping blocks. The size of a block is chosen such that sufficient information must appear in it. Then the average variance in each block is computed. The variance of the pixel intensities in each block across all filtered images is used as the feature map. Experimental results are reported in terms of recognition rate to demonstrate performance of implemented algorithms. Eye images of variable sizes from CASIA V1 and UPOL iris databases have been used for the experimentation.

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Index Terms

Computer Science
Information Sciences

Keywords

Daugmen’s grid Radon Transform Variance Recognition rate

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