Face Recognition, a biometric technology, uses distinguishable facial features to ascertain the presence of a person, had made a major breakthrough in the field of computer vision. Capturing attendance without human intervention with utmost secrecy and reliability is the need of the modern era. Attendance plays an important role in improving teaching learning process, inculcates healthy life habits apart from improving their academic prospects. The paper proposes implementation of different types of face detection such as haarcascade, histogram of oriented gradient, convolution neural network and dlib with its comparison. Further, two recognition methods, Convolution Neural Network (CNN) and local binary pattern histogram (LBPH) have also been implemented. To curb manual attendance taking, issue of fake or proxy attendance, Raspberry pi based attendance authentication system using face recognition has been implemented with (LBPH) method. The system captures the image through the camera, detects and recognized the faces from the image with an accuracy of 95%. If the image matches with the student dataset, then student’s attendance is entered in the MySQL database. APACHE web server provides application programming interface to the database. The message is send to parents through Gmail for absent students through send Mail Transfer protocol. Graphical User Interface using Tkinter has been developed for demonstration of the system.
Volume 12 | 04-Special Issue
Pages: 1235-1248
DOI: 10.5373/JARDCS/V12SP4/20201599