An Efficient Attendance Management System for College Environments Using Machine Learning Facial Recognition Technology

Asad Zia Lari; Faham Khan; Adeeb Ahmad; Ahmad Ali Raza; Mohammad Suaib

doi:10.55524/ijircst.2025.13.3.2

Abstract

Face recognition-based attendance systems have rapidly evolved as efficient solutions for automating attendance in educational and professional settings. Traditional methods- like roll calls and RFID systems-often face challenges such as inaccuracy, time consumption, and proxy attendance issues [1]. This research presents a face recognition-based system that integrates computer vision and deep learning to ensure precise and automated attendance tracking. It captures live images, extracts facial features, and verifies identity by comparing them to a pre-stored database. The system's methodology includes image acquisition, preprocessing, feature extraction using Convolutional Neural Networks (CNNs), and classification through deep learning models [2]. Its design aims to improve accuracy, reduce manual dependency, and enhance security. Experimental results demonstrate high recognition accuracy and a low false positive rate. With such potential, this system offers a transformative step in automating attendance, with a focus on security, reliability, and real-time operation. The study also discusses its benefits, limitations, and areas for future development.

Keywords

Face Recognition, Deep Learning, Local Binary Pattern Histogram (LBPH), Computer Vision, Attendance Automation, Real-time Recognition, Database.

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Cites this article as

A. Z. Lari, F. Khan, A. Ahmad, A. A. Raza, M. Suaib, "An Efficient Attendance Management System for College Environments Using Machine Learning Facial Recognition Technology", International Journal of Innovative Research in Engineering & Management (ijircst), Vol-13, Issue-3, Page No-8-12, 2025. Available from: https://doi.org/10.55524/ijircst.2025.13.3.2

Corresponding Author

Dr. Mohammad Suaib

Associate Professor, Computer Science and Engineering, Integral University, Lucknow, India

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