Document Type
Review
Abstract
This paper is the literature on the iris recognition systems. Iris recognition has grown significantly in recent years because iris information is unique across individuals and unlikely to repeat the iris so it is less susceptible to forgery, and it is also safer from a health standpoint. which can be used for the individual's recognition purposes. There is a wide and active research community devoted to identification based on iris to improve performance and increase speed and accuracy, these ongoing efforts have resulted in cutting-edge techniques and algorithms. These technologies allow the intricate iris patterns to be converted into compact and discriminative templates, allowing for efficient storage and comparison for identification purposes, and contributing to the widespread adoption of iris recognition across multiple domains. In this study, we presented a survey to highlight some of these techniques and empirical findings from previous studies, as well as suggest directions for future works.
Keywords
iris feature extraction; biometric identification; iris recognition; iris detection; biometric recognition system
Recommended Citation
Al-azawi, Zahraa; S Rahma, Abdul Monem; and A. Ogla, Raheem
(2024)
"A Survey on Iris Recognition systems,"
Al-Qadisiyah Journal of Pure Science: Vol. 30
:
No.
1
, Article 5.
Available at:
https://doi.org/10.29350/2411-3514.1243
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