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A New Hybrid Technique for Iris Recognition

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International Journal of Computer Applications
© 2015 by IJCA Journal
Volume 122 - Number 13
Year of Publication: 2015
Authors:
Sarabjeet Kaur
Ada
10.5120/21759-4993

Sarabjeet Kaur and Ada. Article: A New Hybrid Technique for Iris Recognition. International Journal of Computer Applications 122(13):11-18, July 2015. Full text available. BibTeX

@article{key:article,
	author = {Sarabjeet Kaur and Ada},
	title = {Article: A New Hybrid Technique for Iris Recognition},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {122},
	number = {13},
	pages = {11-18},
	month = {July},
	note = {Full text available}
}

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.

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