• Yashwanthreddy Beeravolu
• Rahul Ch
• Sriram TK
• Ruchitha Chinthala

Plagiarism, in recent times, is one of the serious problems due to which the uniqueness in the writings of different authors is being impaired. Plagiarism detection systems have to be developed to help preserve an author's identity, as there is a lot of effort put in by him to write a document. The aim is to study and develop an automated tool to detect cases of plagiarism in a document through our project. Extrinsic plagiarism is where a suspicious document is compared with a given set of source documents and phrases, sentences, etc. which appear in both the documents. It may not simply mean copying text from a document, but copying it and using it in a modified form with a misconception of not being detected as plagiarism. This system will be able to detect extrinsic plagiarism. The text in the document is first split into k-grams. The hash values i.e. fingerprints of all the k-grams are then generated using Karp-Rabin string matching algorithm. A subset of all the fingerprints are calculated using Winnowing algorithm. The similar process is carried out for the suspicious and source documents and then the fingerprints of both documents are compared using Jaccard similarity to get the percentage of plagiarism.

Fingerprints, Karp-Rabin string matching algorithm, Winnowing algorithm, Jaccard similarity, K-gram.

"Extrinsic Plagiarism Detection Using Fingerprinting", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.866-872, September-2018, Available :http://www.jetir.org/papers/JETIR1809266.pdf

"Extrinsic Plagiarism Detection Using Fingerprinting", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp866-872, September-2018, Available at : http://www.jetir.org/papers/JETIR1809266.pdf