Face Recognition Based Attendance Management System

In this digital era, the facial recognition system plays an essential role in almost every sector. Face recognition is one of the mostly used biometry. It can be used for security, verification, identification and has many more advantages. Despite low accuracy compared to the recognition of the iris and fingerprint recognition, it is widely used due to its contactless and non -invasive process. In addition, a facial recognition system can also be used to mark attendance in schools, universities, offices, etc. This system aims to build a class attendance system that uses the concept of facial recognition as an existing manual attendance system is time consuming and cumbersome. And there may be chances of participating in representatives. The need for this system is therefore increasing. This system consists of four phases of database, facial detection, facial recognition, attendance updates. Database is created pictures of students in class. Face detection and recognition is performed using the Haar-Cascade classifier and the algorithm of the local binary pattern. Faces are detected and recognized from the living video broadcast in the classroom. Participation will be sent to the relevant faculty at the end of the meeting .