A Robust Iris Localization and Texture Extraction Scheme for Iris Authentication Systems

Hayder Najm; Bahaa Kareem  Mohammed; Hala A.  Naman; Hussein Al  Bazar; Mohammed Salih  Mahdi; Wijdan Rashid  Abdulhussien

doi:10.37934/ard.136.1.232242

A Robust Iris Localization and Texture Extraction Scheme for Iris Authentication Systems

Authors

Hayder Najm
Bahaa Kareem Mohammed Medical Instruments Techniques, Middle Technical University, Technical Institute Kut, Baghdad, Iraq
Hala A. Naman College of Engineering, University of Wasit, Wasit, Iraq
Hussein Al Bazar Faculty of Computer Studies, Arab Open University, Saudi Arabia
Mohammed Salih Mahdi Business Information College, University of Information Technology and Communications, Baghdad, Iraq
Wijdan Rashid Abdulhussien Information Technology Department, Computer Science and Mathematics College, University of Thi-Qar, Thi-Qar, Iraq

DOI:

https://doi.org/10.37934/ard.136.1.232242

Keywords:

Data security, authentication, authorization, active contour, Gray Level Co-occurrence Matrix (GLCM), CASIA Dataset, ITTD Dataset, UBIRIS Dataset

Abstract

Biometrics systems accurately identify and distinguish individuals based on their characteristics. Due to the high accuracy and stability, iris has been widely used in the authentication process of authorized persons. One of the most important processes in developing an iris recognition system is iris segmentation since it has a substantial impact on the accuracy of iris matching.

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Published

2025-08-12

How to Cite

Hayder Najm, Mohammed, B. K. ., Naman, H. A. ., Bazar, H. A. ., Mahdi, M. S. ., & Abdulhussien, W. R. . (2025). A Robust Iris Localization and Texture Extraction Scheme for Iris Authentication Systems. Journal of Advanced Research Design, 136(1), 232–242. https://doi.org/10.37934/ard.136.1.232242