LBPH-Based Face Recognition System for Attendance Management

Abstract

Facial recognition is the mostly used biometric technique for identification and acknowledgment of people automatically. This technology is widely used in fields, such as surveillance systems, criminal identification, law enforcement and banking. On the other hand, facial recognition systems do not need any direct contact and acceptance of the person/user. Surveillance cameras at various locations have helped to identify crimes/criminals. Also, this technology can be further used for many user-friendly applications like finding the participations of people at various programs, attendance monitoring at workplaces, universities/colleges, to restrict unauthorized entries, etc. Traditional manual attendance marking as well as biometric fingerprint methods is a time-taking procedure for instructors as well as students in academic fields. This paper discusses about the usage of facial recognition technique to label the participation of the student automatically. To reduce the faults of other systems, face recognition system using LBPH is implemented.