Journal Title : International Journal of Modern Trends in Engineering and Science
Author’s Name : Nagarajan P, Ramesh S M, Sundrarajan T V P
Volume 01 Issue 10 Year 2014
ISSN no: 2348-3121
Page no: 11-14
Abstract— Iris recognition is the most accurate biometric identification system on hand. Most iris recognition systems use algorithms developed by Daugman. The performance of iris recognition is highly depends on edge detection. Canny is the edge detector which is commonly used. The objectives of this research are to a) study the edge detection criteria and b) measure the PSNR values in estimating the noise between the original iris feature and new iris template. The eye image with 320×280 dimensions is obtained from the database which has been preprocessed through the segmentation and normalization in obtaining the rubber sheet model with 20×240 in dimension.
Keywords— Edge detection, Feature extraction, Iris recognition system, PSNR.
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