A Review on Iris Recognition System using Machine and Deep Learning

For security purposes, the use of an Iris Recognition System has become standard practice. It is possible to achieve accurate results by employing Iris recognition. Since it never accepts fraudulent values, it is an excellent security tool. In the search for one of the most dependable and accurate biometric technologies available today, Iris recognition is a fantastic location to begin the research. Because of the complex texture of the Iris, which provides strict requirements for identifying individuals, Iris identification systems have caught the interest of many researchers. And its extensive use around the world, Iris recognition has made remarkable strides in recent years. The survey details the Iris recognition technology from the stage of data collection to recognition. Iris recognition involves several procedures, including image capture, pre-processing, feature analysis, recognition, and evaluation. Machine learning and deep learning are taken in this article for Iris recognition. A closer look at the essential concepts of various techniques, as well as their inherent connections, will help the researcher to obtain a better understanding of the development of the Iris recognition system. Although many research and review articles have previously been published in this area, we utilized the knowledge from those articles to identify some unexplored areas of iris recognition for researchers. This study will be the beginning for researchers to start their work.