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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 14, ISSUE 4, APRIL 2025

AI Based Attendance System using Haar-Cascade classifier and Local Binary Pattern Histogram

Unnati Satav, Nikita Patil, Vaishali Kshirsagar, Mr. Ashish T. Bhole

DOI: 10.17148/IJARCCE.2025.14460

Abstract: In today’s digital age, face recognition systems have become increasingly important across various sectors. As one of the most commonly used biometric technologies, face recognition serves multiple purposes including security, authentication, and identification. Although its accuracy may not match that of iris or fingerprint recognition, it remains widely adopted due to its contactless and non-intrusive nature. At the end of each session, attendance records will be automatically sent to the respective faculty members via email.

Keywords: Attendance Report, AI, Face Recognition, Haar-Cascade classifier, Local Binary Pattern Histogram

How to Cite:

[1] Unnati Satav, Nikita Patil, Vaishali Kshirsagar, Mr. Ashish T. Bhole, “AI Based Attendance System using Haar-Cascade classifier and Local Binary Pattern Histogram,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.14460