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A Detailed Survey on Iris Recognition System and Segmentation Methods

by Mubashshera Shaikh, Shamaila Khan, Kaptan Singh
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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

@article{ 10.5120/ijca2023922644,
author = { Mubashshera Shaikh, Shamaila Khan, Kaptan Singh },
title = { A Detailed Survey on Iris Recognition System and Segmentation Methods },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2023 },
volume = { 184 },
number = { 52 },
month = { Mar },
year = { 2023 },
issn = { 0975-8887 },
pages = { 13-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number52/32658-2023922644/ },
doi = { 10.5120/ijca2023922644 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:24:40.223878+05:30
%A Mubashshera Shaikh
%A Shamaila Khan
%A Kaptan Singh
%T A Detailed Survey on Iris Recognition System and Segmentation Methods
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 52
%P 13-20
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

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Index Terms

Computer Science
Information Sciences

Keywords

Image iris recognition system segmentation biometrics clustering classification

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