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Iris-Based Biometric Attendance System Using Image Processing Techniques

 

 

Sushmith S Mokashi1, Rohith S2, Sonia Saha3, Sakshi Mukherjee4, Dr. Guruvammal5, Mr. Lanke Ravi Kumar6

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 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 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.

Keywords— Iris recognition, biometric authentication, attendance system, image processing, feature extraction, template matching.

 

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