Attendance System Using Face Recognition

Abstract

Authentication is one of the significant issues in the era of information system. Among other things, human face recognition is one of known techniques which can be used for user authentication. As an important branch of biometric verification, HFR (Human Face Recognition) has been widely used in many applications, such as video monitoring/surveillance system, human-computer interaction, door access control system and network security. Face Recognition begins with extracting the coordinates of features such as width of mouth, width of eyes, pupil, and compare the result with the measurements stored in the database and return the closest record (facial metrics). Nowadays, there are a lot of face recognition techniques and algorithms found and developed around the world. This system uses this face detection for attendance of students in a classroom. The traditional method of attendance requires more physical effort. It can be a little time consuming. Through this system, attendance can be handled without human intervention. Not only the attendance on a daily basis but a small report required to track student activity (total number of lectures attended and pertaining percentages can be displayed).