Iris Recognition System Based on Statistical Feature Analysis Using Haar Wavelet
Author(s) : REGA. R
Abstract
Iris recognition is the most reliable biometric identification system with highest accuracy level. This paper includes preprocessing, segmentation, normalization, Haar wavelet decomposition, statistical feature extraction and feature matching. The matching of two iris patterns is done using hamming distance. Experiments are done using the eye images from CASIA database (Chinese Academy of Sciences). Implementation is done using MATLAB.
Conference Title : International Conference on Advanced Computing, Communication and Networks - CCN 2011
Conference Date(s) : June 2-3, 2011
Place : Hotel Aroma, Chandigarh, India
No fo Author(s) : 1
DOI :
Page(s) : 29 - 32
Electronic ISBN :
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