Real-Time Iris recognition Biometric Attendance System Using Image Processing Techniques
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Real-Time Iris recognition Biometric Attendance System Using Image Processing Techniques
Saanketh B C¹ , Srishti Jain2, Dr. Guruvammal3
1 2 3 4 5 6Department of Computer Science and Engineering, JAIN (Deemed-to-be-University)
Abstract - Accurate and secure attendance monitoring is a critical requirement in educational and corporate environments. Traditional attendance systems such as manual registers, RFID cards, and fingerprint sensors suffer from limitations including proxy attendance, data tampering, time consumption, and hygiene concerns. This research presents a contactless real-time biometric attendance system based on iris recognition, leveraging image processing and feature extraction methods to achieve high accuracy and robustness. The proposed system captures eye images in real-time using a standard camera, performs iris segmentation, extracts unique features, and matches them with stored templates to automatically record attendance. Experimental evaluation demonstrates the system’s potential for real-time deployment with low False Acceptance Rate (FAR) and False Rejection Rate (FRR). The solution is cost-effective, scalable, and highly suitable for post-pandemic environments where contactless authentication is essential.
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