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