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FACE RECOGNITION BASED ATTENDANCE SYSTEM
Mr. Charan Pote1, Prachi Somkuwar2, Kajal Raut3, Yogini Chambare4, Nihal Borkar5
1Assistant Professor, Department of Computer Technology, PCE, Nagpur, India
2,3,4,5UG Students, Department of Computer Technology, PCE, Nagpur, India
Abstract : In the traditional system, it is hard to be handle the attendance of huge students in a classroom. As it is time-consuming and has a high probability of error during the process of inputting data into the computer. Real-Time Face Recognition is a real-world solution which comes with day to day activities of handling a bulk of student’s attendance. Face Recognition is a process of recognizing the students face for taking attendance by using face biometrics. In this paper, a computer system will be able to find and recognize human faces fast that are being captured through a surveillance camera. Numerous algorithms and techniques have been developed for improving the performance of face recognition but our proposed system uses Haar cascade classifier to find the positive and negative of the face and LBPH (Local binary pattern histogram) algorithm for face recognition by using python programming and OpenCV library. Here we have used the tkinter GUI interface for user interface purpose.
Keywords – Face Detection, Face Recognition, Haar Cascade Classifier, Local Binary Pattern Histogram (LBPH).