Lecture Attendance System with Face Recognition and Image Processing

Image processing is used in many applications, including medical imaging, industrial manufacturing, and security systems. In this paper, we propose a system that takes the attendance of students in classroom automatically using face detection and face recognition. However, it is difficult to estimate the attendance precisely using each result of face recognition independently because the low face detection rate. In this paper, we propose a model for estimating the attendance precisely using all the results of face recognition obtained by continuous observation. Continuous observation improves the performance for the estimation of the attendance. We constructed the lecture attendance system based on face recognition and detection, and applied the system to classroom lecture. This paper is review the related works in the field of attendance management and face recognition.