Image Recognition System for Security in Public Examination

Abstract

The embodiment of any examinee is an initial issue in the public examination method known as misconduct. Admit cards and Image recognition is naturally applied in the public exam to identify fraudulent candidates. Our proposed work is mainly conducted with bio-informatics and image analysis techniques in the recognition, identification, and classification of fraud students. Usually, fraud students are identified by using face and image analysis since the proposed architecture is focused on image processing. In this research work, we build automated image discovery and recognition to find fraudulent candidates in the public examination system. It can detect automatically such functions as data acquisition, image detection, processing, and image matching, and make it provides a secure report. This image recognition system provides a well-organized way for authorities to manage and track the admission examination system. Face recognition and detection can further be used in identity attendance and verification monitoring in the public examination system. Our image recognition-based examination system in Public examination also helps to provide the quality of examinations in higher education by making accurate performance assessments that are valid as well as more motivating and meaningful. In this proposed work, the image analysis process is performed with the help of binary patterns analysis, which is used to convert image data into binary data for further processing and analysis. In this research work, it is shown how to Image recognition system is developed, and a Data Flow Diagram (DFD) of this system is provided. The programming instrument used for the front-end development of the system is PHP, CSS, and HTML, while structured query language and MySQL are used as the database back end. The purpose of our research work is to provide an automated admission system that saves a lot of time. It provides accuracy, reliable identification, and verification of each student's admission result within higher security.