A Survey on Using Machine Learning and Deep Learning based Iris Recognition


  • Rogash M. Younis Department of Statistics, Van Yuzuncu Yil University, Van, Turkey




Computers now have the ability to learn without explicit programming thanks to the branch of computer science known as machine learning. There are many computing tasks that require machine learning since it is difficult to create and program explicit methods that work well. Applications range from email filtering to spotting malicious employees attempting to compromise data to spotting network intruders. To teach computers how to use data to solve a specific problem is one of the fundamental aims of machine learning. There are a lot of uses for machine learning, such as fraud detection and training classifiers on email messages to distinguish between spam and non-spam communications. This article will concentrate on machine learning fundamentals, tasks, and techniques, as well as numerous machine learning algorithms.


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How to Cite

M. Younis, R. (2023). A Survey on Using Machine Learning and Deep Learning based Iris Recognition . Academic Journal of Nawroz University, 12(1), 47–54. https://doi.org/10.25007/ajnu.v12n1a1677