Iris Recognition Using Discrete Cosine Transform and Artificial Neural Networks
Ahmad M. Sarhan
Journal of Computer Science, Volume 5, Issue 5, pp. 369–373 · doi.org/10.3844/jcssp.2009.369.373
Abstract
Problem statement: The 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.
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Sarhan, A. M. (2009). Iris Recognition Using Discrete Cosine Transform and Artificial Neural Networks . Journal of Computer Science, 5(5), 369–373. https://doi.org/10.3844/jcssp.2009.369.373
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