• Jayashree Somani
• Mrs. Vaishali Kolhe

This paper gives the explanation of the implementation of the automated attendance system using image processing techniques/methods. The system helps to detect and recognize automatically the faces of the students in classrooms to reduce the manual work of taking attendance which is time consuming and tedious job by using HAAR classifier and LBP classifier. The System uses the support vector clasification algorithm and gradient boost clasification on the LBP facial features, to detect the face of the user and mark its attendance. The LBP features of face are provided to support vector machine algorithm that are extracted from the face images for the face classification. The experiment is performed on about 200 images with good precision.

Automated Attendance System, Support Vector Machine, HAAR Classifier, Gradient Boost, Face Recognition, LBP classifier

"Automated Attendance System using Facial Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.713-718, June 2019, Available :http://www.jetir.org/papers/JETIR1906N08.pdf

"Automated Attendance System using Facial Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp713-718, June 2019, Available at : http://www.jetir.org/papers/JETIR1906N08.pdf