AUTOMATED ATTENDANCE SYSTEM USING FACE RECOGNITION

Attendance is compulsory in every school or university for keeping a record of the student attending the class. The biometric
is applied in the system proposed, which uses face recognition for ease of attendance taking. The automated attendance system uses the proposed face recognition to overcome the weaknesses of manual and traditional attendance systems that cause learning time to be delayed, handwriting that confuses the lecturer and also the concentration of the student to be affected. This paper aims to identify the method used for detection and recognition to develop and evaluate the system. Therefore, the Viola-Jones algorithm is used in detection of student faces and Local Binary Pattern Histogram is used for recognition when it compares the student face with the images in the database. The system flow starts with capturing the image of the student in class, detecting their faces, processing the image for a better image and then extracting the feature. The results have shown the accuracy of face detection is more than 90% because some of the faces cannot be detected due to the different angles, while the accuracy for face recognition varies between 18% to 80% due to the different numbers of images trained for each person.