Face Recognition Based Attendance Management System

Abstract

ABSTRACT
The current World is converted into the digital world. Every sector of the World is digitalized and Education Sector is also occupied by it. But still many schools and colleges are still using the traditional method of taking attendance which consists of pen and paper. This method is not only tedious and time-consuming but also it is not good from the environmental perspective. The proposed project consists of developing a system that will recognize multiple faces simultaneously and mark the attendance of those students accordingly. Different Machine learning algorithms are used for detection as well as recognition. With minimal hardware is possible to deploy the system. This system will minimize the work of teachers and also discard human errors.

Keywords: local binary pattern histogram (LBPH), Viola Jones algorithm, convolutional neural network algorithm (CNN), machine learning (ML), PCA (principal component analysis)

Cite this Article: Sanket Deshmukh, A.A. Utikar, Abhijeet Dhoble, Akshay Haral, Krishna Kalam. Face Recognition Based Attendance Management System. International Journal of VLSI Design and Technology. 2020; 2(1): 16–23p.