Iris Recognition based on Wavelet Transform and Probabilistic Neural Network
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2014 by IJCTT Journal|
|Year of Publication : 2014|
|Authors : Azade Bastani|
|DOI : 10.14445/22312803/IJCTT-V14P121|
Azade Bastani. "Iris Recognition based on Wavelet Transform and Probabilistic Neural Network". International Journal of Computer Trends and Technology (IJCTT) V14(3):96-98, Aug 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
In this paper, we propose an iris recognition system using wavelet decomposition method and probabilistic neural Network (PNN) to analyze the pattern of a human iris. In the feature extraction part, unrolled iris images are filtered using wavelet transform for four times. Iris recognition is then performed by using PNN. The recognition rate of 98.37% is achieved on CASIA database.
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Iris Recognition, Discrete Wavelet Transform, Probabilistic Neural Network