International Research Journal of Education and Technology

The Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS) is a flagship program in India that aims to provide employment opportunities to rural workers. However, effective tracking and capturing of attendance at work site for MGNREGS workers have been challenging, leading to issues of accountability and potential misuse of the system. To address these challenges, this abstract proposes an innovative mechanism for tracking and capturing attendance using an iris-based attendance monitoring system. The proposed system leverages iris recognition technology, which utilizes the unique patterns in the iris of an individual's eye for identification. By implementing this technology, the system ensures accurate and secure attendance tracking, eliminating the possibility of fraudulent practices such as proxy attendance or falsified records. The key components of the iris-based attendance monitoring system include an iris scanning device, a database management system, and an image processing and recognition algorithm. By adopting an iris-based attendance monitoring system for MGNREGS

workers, the proposed mechanism enhances accountability, reduces the likelihood of fraudulent practices, and ensures accurate attendance tracking. This abstract provides an overview of the key components and steps involved in implementing such a system, which can significantly contribute to the effectiveness and transparency of the MGNREGS program.

Key Words: Iris recognition, attendance tracking, authentication, image processing.