Automated Attendance Using Face Recognition
Smit Vasani, Dr. Jitendra Saturwar, Jay Sarvaiya, Harsh Rawal
OpenCV, Python, Face detection, Haar Cascade Classifier, Face recognition, Local Binary Patterns Histograms (LBPH)
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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