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Artificial Neural Networks based Classification Technique for Iris Recognition

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 57 - Number 4
Year of Publication: 2012
Authors:
Shreyansh Daftry
10.5120/9103-3241

Shreyansh Daftry. Article: Artificial Neural Networks based Classification Technique for Iris Recognition. International Journal of Computer Applications 57(4):22-25, November 2012. Full text available. BibTeX

@article{key:article,
	author = {Shreyansh Daftry},
	title = {Article: Artificial Neural Networks based Classification Technique for Iris Recognition},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {57},
	number = {4},
	pages = {22-25},
	month = {November},
	note = {Full text available}
}

Abstract

Iris recognition is one of the challenging problems inhuman computer interaction. An automated iris recognition system requires an efficient method for classification of iris region in the face sequence, extraction of iris features, and construction of classification model. In recent years, Neural Networks (NN) has demonstrated excellent performance in a variety of classification problems. In this paper, we have used a simple 2dimensionaldiscrete wavelet transform (DWT) representation which captures the small differences in the image that is desired for the current applications. The DWT is used to generate feature images from individual wavelet sub bands. The results of our studies show that, the system gives about 90. 00%recognition rate.

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