Hawk Eye: A Plagiarism Detection System

  • Karuna Puri
  • Preeti Mulay
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 379)


College students today use their smartphones or electronic media smartly to capture software code that are part of their curriculum and then circulate same code among the entire batch, leading to plagiarism. To avoid this kind of plagiarism an innovative plagiarism detection mobile system is needed. The proposed system will eventually help students to develop their coding skills and avoid cloning. The system uses Multi-Language OCR-Compiler Engine to convert the clicked snapshot into relevant text file and triggers appropriate compiler to compile the code. Then the system uses plagiarism detection algorithms that use the concept of tokenizing source code. Tokenizing makes difficult to replace the system by unnecessary comments, punctuations, or changing variables–methods names. Mobile applications like Viper, Plagiarisma.Net, Plagiarism CheckerX can be deployed to check the cloned code. Future extension includes applying modified concepts related to (cloned) flowcharts and also have desktop compatible version of this mobile system.


OCR TTA Plagiarism Detection algorithms Tokenizing Viper Plagiarism CheckerX Plagiarisma.Net 


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Copyright information

© Springer India 2016

Authors and Affiliations

  1. 1.Computer Science and Engineering DepartmentSymbiosis Institute of TechnologyPuneIndia

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