Automatic Attendance Using Facial Recognition

Abstract

This paper discusses the impact of applying the facial recognition model in teaching and advancing the educational quality in universities. In recent years, the development of science and digital technology boosts the wide use of cutting-edge models instead of human resources. The article is based on the realistic demands for the applied techniques in developing a checking attendances system, which could help people to check attendance and review it easily. That traditional way of checking attendance which requires unnecessary steps as well as human’s time of waiting and processing leads to numerous difficulties. Due to the massive scales of classrooms in universities, there are challenges of controlling students and assuring the quality of teaching and studying. In this article, we would like to build the model of checking faces attendance for credit classes applied Haar Cascade and Local Binary Patterns Histograms (LBPH) method to recognize.