Abstract: In the current century, everything around us has become dependent upon technology to make our lives much easier. Day-to-Day tasks are continuously becoming computerized. Nowadays a lot people prefer to do their work electronically. To the best of knowledge we have, the process of recording attendance of the students at the university is still manual. Faculties go through attendance sheets and signed papers manually to record attendance. This is very slow, inefficient and time-consuming process. The main aim of the project is to offer system that simplify and automate the process of recording and tracking students’ attendance through facial recognition technology. It uses biometric technology to identify or verify a person from a digital image or surveillance video. Facial recognition is widely used nowadays in different areas such as universities, banks, airports, offices etc. We will use pre-processing techniques to detect, recognize and verify the captured faces like LBPH method. We aim to provide a software that will make the attendance process fast and precise. The problem is identified along with solutions and project path. Furthermore, detailed software analysis and design, user interface, methods and the estimated results are presented through our documentation.
Keywords: Face detection Face recognition Local Binary Pattern Student’s attendance system, Haar cascade classifier, LBPH algorithm.
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DOI:
10.17148/IJARCCE.2021.10446
