Research Article Open Access

Iris Recognition Using Discrete Cosine Transform and Artificial Neural Networks

Ahmad M. Sarhan

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.

Journal of Computer Science
Volume 5 No. 5, 2009, 369-373

DOI: https://doi.org/10.3844/jcssp.2009.369.373

Submitted On: 8 May 2009 Published On: 30 May 2009

How to Cite: 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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Keywords

  • iris
  • biometrics
  • CASIA database
  • cosine transform
  • artificial neural networks
  • feature extraction