International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 184 - Number 52 |
Year of Publication: 2023 |
Authors: Mubashshera Shaikh, Shamaila Khan, Kaptan Singh |
10.5120/ijca2023922644 |
Mubashshera Shaikh, Shamaila Khan, Kaptan Singh . A Detailed Survey on Iris Recognition System and Segmentation Methods. International Journal of Computer Applications. 184, 52 ( Mar 2023), 13-20. DOI=10.5120/ijca2023922644
Utilizing a person's physiological and behavioral characteristics to identify them is known as biometrics recognition. Numerous biometric characteristics have been developed and are currently being used to verify a person's identity. When compared to other biometric recognition systems, the Iris feature of identical twin eyes makes it a more secure method of authentication. As a result, the iris recognition system is widely used and has been shown to be effective at recognizing individuals with high accuracy and nearly perfect matching. The identification performance of iris recognition techniques has recently improved significantly. Iris recognition systems have garnered a lot of attention among authentication methods due to their robust standards for identifying individuals and their rich iris texture. A standard framework for an iris recognition system is presented in the paper. The methods used in various stages of the iris image recognition system are discussed in this article. The anatomy of the iris, the general procedure, the system's applications, and publicly accessible iris image datasets are all covered in great detail in this paper.