PCA based Facial Recognition for Attendance System
Tulabandu Aadithya Kiran, Nallamilli Dileep Kanth Reddy, Abaid Isaac Ninan, Padmaveni Krishnan, D. John Aravindhar, Angelina Geetha · 2020 International Conference on Smart Electronics and Communication (ICOSEC) · 2020
One of the most important issues about authentication from the long period of history is the user authentication. Among all the techniques for user authentication, human face recognition (HFR) is a well-known technique. As the human face recognition goes under the part of biometric confirmation, HFR has been generally utilized in numerous applications like surveillance systems, entrance of houses, mobile face unlock, and network security. This paper introduces a novel method for student attendance system in the classroom using face recognition technique. The human face attendance system is developing based on the current image recognition technology in order to detect the faces of the students in a classroom and mark attendance of the person if he or she is matched with the facial data in the given facial database. This HFR system will independently mark the attendance of the students in a classroom without disturbing the teacher, so that the teacher can enhance their teaching role in different ways. The time can be saved by using the proposed system. The idea is developed by using an open CV.