Survey of Iris Recognition using Deep Learning Techniques
Zahra Rahim Sami, Huda Kadhim Tayyeh, Mohammed Salih Mahdi · Journal of Al-Qadisiyah for Computer Science and Mathematics · 2021
Deep learning is an effective data mining method that is used to analyze complex, and large quantities of data accurately and efficiently. In the last few years, the world has gone through an revolutionary change in the way of how data produced and how data are processed not similar to any time before. The data produced must be handled accurately using intelligent methods to get accurate results. For example, iris recognition is one of the applications that needs sophisticated algorithms capable to identify one person from the other via the iris data analysis. In the recent few year, it was clear how deep learning has been used in different areas of life. One of those areas is the pattern recognition area. In this review paper, we focus on the investigation of using the deep learning technologies for these purposes. The research methodology followed in this paper is based on reviewing, analyzing the academic papers published in the last couple of years in terms of the proposed paradigm used on the iris data, and the accuracy results obtained from using that paradigm as well as mentioning the datasets used in these paper. The outcomes of this paper showed that using the deep learning method, in particular, the Convolutional neural networks, has promising future due to its success in this domain.