Automated Attendance Using Face Recognition

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Automated Attendance Using Face Recognition
Author(s):
Smit Vasani, Dr. Jitendra Saturwar, Jay Sarvaiya, Harsh Rawal
Keywords:
OpenCV, Python, Face detection, Haar Cascade Classifier, Face recognition, Local Binary Patterns Histograms (LBPH)
Abstract
In a world progressing towards a digital age, even today in classrooms manual attendance systems are still used on a macro scale. Instead of using this time-consuming and laborious method, we can instead design an automated attendance system to save time. The proposed system will make use of OpenCV Module in python which uses Haar Cascade Classifier for face detection and Local Binary Patterns Histograms (LBPH) for face recognition. The proposed system will contain stored images of student’s faces in the system's database for which attendance records are to be maintained. On successful recognition of students' faces present in the classroom, they will be matched with the database of the system and for those students registered in the database, an excel sheet will be created to record their attendance.
Article Details
Unique Paper ID: 151295 Publication Volume & Issue: Volume 7, Issue 12 Page(s): 379 - 382
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