• DocumentCode
    3776545
  • Title

    Detecting plagiarism in images

  • Author

    Prajakta Ovhal

  • Author_Institution
    Department of Computer Engineering, P.E.S Modern College of Engineering, Pune, India
  • fYear
    2015
  • Firstpage
    85
  • Lastpage
    89
  • Abstract
    Plagiarism is considered as a serious offence. Due to the tremendious growth of internet resources someone´s idea can be used without giving them the proper credit. There are certain plagiarism detection tools available, for example: Plagiarisma.net, Viper etc. A flaw has been identified in this system that when a document is getting scanned for plagiarism each and every line is tested if any image is detected during scan then that image is simply discarded, which is very inappropriate because an image can also be plagiarized. Architecture diagram, flow diagram, UML diagrams, even snapshots of test results can be plagiarized Hence there is need to develop a system which can detect plagiarism in images too.
  • Keywords
    "Image color analysis","Plagiarism","Feature extraction","Shape","Histograms","Internet","Image retrieval"
  • Publisher
    ieee
  • Conference_Titel
    Information Processing (ICIP), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/INFOP.2015.7489356
  • Filename
    7489356