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Iris Recognition Systems: A Comprehensive Review

Authors:

Tejas Tawrej1, Karan Thapa2, Khushal Hedaoo3, Krishna Patil4, Prof. Dipali Chhatrikar5

1Department of Electronics and Telecommunication Engineering, JSPM Rajarshi Shahu College Of Engineering 2Department of Electronics and Telecommunication Engineering, JSPM Rajarshi Shahu College Of Engineering 3Department of Electronics and Telecommunication Engineering, JSPM Rajarshi Shahu College Of Engineering 4Department of Electronics and Telecommunication Engineering, JSPM Rajarshi Shahu College Of Engineering 5Department of Electronics and Telecommunication Engineering, JSPM Rajarshi Shahu College Of Engineering

Abstract - Iris recognition systems have emerged as a leading solution for secure and reliable biometric identification, leveraging the intricate and unique patterns of the human iris. This review examines four key algorithms— Hough Transform, Daugman’s Rubber Sheet Model, SIFT, and SURF—used in iris recognition. We discuss their applications across sectors such as security, access control, and identity verification. The paper highlights the challenges, advantages, and future directions of these technologies, offering a detailed analysis of their accuracy, efficiency, and robustness.

Key Words: Iris recognition, Biometric authentication, Iris scanning, Image processing, Database security

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