Journal of Computer Science

Iris Recognition Using Discrete Cosine Transform and Artificial Neural Networks

Ahmad M. Sarhan

DOI : 10.3844/jcssp.2009.369.373

Journal of Computer Science

Volume 5, Issue 5

Pages 369-373

Abstract

Problem statement: This study presented an efficient Iris recognition system. Approach: The design used the discrete cosine transform for feature extraction and artificial neural networks for classification. The iris images used in this system were obtained from the CASIA database. Results: A robust system for iris recognition was developed. Conclusion: An iris recognition system that produces very low error rates was successfully designed

Cite this Article

Sarhan, A.M., 2009. Iris Recognition Using Discrete Cosine Transform and Artificial Neural Networks. J. Comput. Sci., 5: 369-373.