International Journal of Computer
Trends and Technology

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Volume 14 | Number 1 | Year 2014 | Article Id. IJCTT-V14P121 | DOI : https://doi.org/10.14445/22312803/IJCTT-V14P121

Iris Recognition based on Wavelet Transform and Probabilistic Neural Network

Azade Bastani

Citation :

Azade Bastani, "Iris Recognition based on Wavelet Transform and Probabilistic Neural Network," International Journal of Computer Trends and Technology (IJCTT), vol. 14, no. 1, pp. 96-98, 2014. Crossref, https://doi.org/10.14445/22312803/IJCTT-V14P121

Abstract

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.

Keywords

Iris Recognition, Discrete Wavelet Transform, Probabilistic Neural Network

References

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