Novel Approach to Detect Plagiarism in the Document

Plagiarism is an expansive obstacle in various fields like the education sector, business technology, fashion world, etc. The writers copy the readily available material and data and present it as their own work without providing required citations. Due to this, industries like the education system, fashion world newspaper publishers, and a lot more industries fall under immense intimidating remarks. Although there are several tools available in the market that solve the problem of plagiarism using different approaches and features. The existing plagiarism detection tools available in the market compare plagiarism only when the input document contains the text format. However, existing tools do not check for plagiarism when the input document is an image. In this paper, a tool is proposed that uses an exhaustive searching technique that searches the text and text embedded in the image. The proposed tool allows.docx, .pdf, and different image formats as input and allows users to type in or copy-paste the text manually. The tool proposed here in this project verifies the input document with the content available on the websites and gives the results concerning similarity.