Research Article
A New Hybrid Technique for Iris Recognition
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 122 - Issue 13 |
| Published: July 2015 |
| Authors: Sarabjeet Kaur, Ada |
10.5120/21759-4993
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Sarabjeet Kaur, Ada . A New Hybrid Technique for Iris Recognition. International Journal of Computer Applications. 122, 13 (July 2015), 11-18. DOI=10.5120/21759-4993
@article{ 10.5120/21759-4993,
author = { Sarabjeet Kaur,Ada },
title = { A New Hybrid Technique for Iris Recognition },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 122 },
number = { 13 },
pages = { 11-18 },
doi = { 10.5120/21759-4993 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Sarabjeet Kaur
%A Ada
%T A New Hybrid Technique for Iris Recognition%T
%J International Journal of Computer Applications
%V 122
%N 13
%P 11-18
%R 10.5120/21759-4993
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Iris recognition is considered as the most accurate biometric method. In this paper, we have developed a system that can recognize human iris patterns and an analysis of the results is done. A novel mechanism has been used for implementation of the system. Feature encoding has been used to extract the most discriminating features of the iris and is done using SIFT scheme. And finally the biometric templates are classified using SVM and Neural Network which tells us whether the two iris images are same or not and on the basis of that performance metric are evaluated Accuracy, precision and false positive rate using MATLAB environment.
References
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