Image Plagiarism

Abstract: This project introduces an innovative approach to combat image plagiarism by developing a sophisticated detection system. By employing advanced techniques in computer vision and machine learning, our system accurately identifies instances of image replication across digital platforms. Through feature extraction and similarity measurement algorithms, trained extensively on diverse image datasets, our solution achieves high precision in detecting plagiarized content. This research aims to enhance intellectual property protection in the digital domain, promoting integrity and originality in content creation and dissemination. By contributing to the advancement of image plagiarism detection methods, this project addresses crucial challenges in preserving authenticity and attribution in digital media.