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Iris recognition using Partial Coefficients by applying Discrete Cosine Transform, Haar Wavelet and DCT Wavelet Transform

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International Journal of Computer Applications
© 2011 by IJCA Journal
Number 1 - Article 1
Year of Publication: 2011
Authors:
Dr. H. B. Kekre
Dr. Tanuja K. Sarode
Pratik Bhatia
Sandhya N. Nayak
Dheeraj Nagpal
10.5120/3910-5495

Dr. H B Kekre, Dr. Tanuja K., Pratik Bhatia, Sandhya N Nayak and Dheeraj Nagpal. Article:Iris recognition using Partial Coefficients by applying Discrete Cosine Transform, Haar Wavelet and DCT Wavelet Transform. International Journal of Computer Applications 32(6):39-43, October 2011. Full text available. BibTeX

@article{key:article,
	author = {Dr. H. B. Kekre and Dr. Tanuja K. and Pratik Bhatia and Sandhya N. Nayak and Dheeraj Nagpal},
	title = {Article:Iris recognition using Partial Coefficients by applying Discrete Cosine Transform, Haar Wavelet and DCT Wavelet Transform},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {32},
	number = {6},
	pages = {39-43},
	month = {October},
	note = {Full text available}
}

Abstract

Iris recognition systems are unavoidable in emerging security and authentication mechanisms. In this paper, we make a comparative study of performance of image transforms Discrete Cosine Transform (DCT), Haar wavelet and DCT wavelet, when they are used for iris verification. Initially, the entire 256x256 feature co-efficient matrix, obtained after applying DCT, Haar wavelet or DCT wavelet transform to the image, is considered. The coefficients from bottom right of the image matrix, transformed using DCT, Haar wavelet or DCT wavelet, which contain minor information, are discarded gradually and the performance is recorded for all iterations.

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