Plagiarism detection using free-text fingerprint analysis

Plagiarism generally defined as using other people´s ideas or work and representing it as one´s own original work. Free-text plagiarism detection is an application based on analyzing the texts contained in researches, thesis, scientific reports and also literary products, these analyzed data will be used to compare a group of documents to find out how much these documents are similar. This paper proposes a Free Text Plagiarism Detection Software (FTPDS); which is a software tool that uses documents´ fingerprints to detect the likelihood that the documents are plagiarized from each other. The system is able to detect plagiarism between two given documents, given document and group of local documents, and between given document and online available documents. Agile software methodology was used to develop the software and some open source libraries were manipulated and used to search the internet and read PDF documents respectively. The speed of the detection process, the inaccurate detection of the same file and the lag of online search and downloading are stated as future work aspects. Source in this paper means the suspected document which we want to detect the amount of plagiarized data contained in it. The target is the document which is probably the document where the author plagiarized the data from it and claimed that he\she owns that data.