Robust Smart Face Recognition System Based on Integration of Local Binary Pattern (LBP), CNN and MTCNN for Attendance Registration

Abstract

Face recognition is one of the most effective image-processing applications and is essential in the technological era. The identification of the facial image is a current problem for authentication purposes, particularly in the case of student attendance. The design of this system aims to digitally replace the outdated method of collecting attendance with handwritten records. The methods now used to take attendance are complicated and time-consuming. Hence, this method is suggested as a solution to all of these issues. The suggested method uses the integrated benefits of Local Binary Pattern(LBP), CNN, and MTCNN. Attendance reports will be created and maintained in excel format following face recognition. The created system is less expensive to install and requires less work.