FACE RECOGNITION FOR AUTOMATED ATTENDANCE SYSTEM USING LBPH ALGORITHM
S Amala Shanthi, K. Nirmaladevi, M. Pyingkodi, P Selvapandiyan · Journal of Critical Reviews · 2020
Day to day activities in an institution all over the world some or the other way involves in taking attendance of the students who are present in the classrooms. Traditionally the attendance is taken through a roll call, this takes a lot of time and may sometime lead to a false attendance. To overcome this tedious process this project aims to reduce the time and mistakes made by the traditional process by introducing facial recognition as a solution, this helps in many ways from keeping a large registers in short space to avoiding false attendance. This project showcases the ability of facial recognition using LBPH algorithm and Haar cascading algorithms combined, this produces a facial map of the individual which helps in improving the post image processing of the individual image taken during attendance. The result of this method showed a 92% efficiency compared to traditional methods, it also showed some drawbacks that can be easily addressed by improving the environment and using deep learning by machine computing using artificial intelligence.