• DocumentCode
    1724085
  • Title

    Digital image forgery detection by edge analysis

  • Author

    Rad, Reza Moradi ; KokSheik Wong

  • Author_Institution
    Fac. of Comput. Sci. & Inf. Technol., Univ. of Malaya, Kuala Lumpur, Malaysia
  • fYear
    2015
  • Firstpage
    19
  • Lastpage
    20
  • Abstract
    The advent of user-friendly yet powerful editing softwares has cast doubt on the authenticity of digital images. Therefore, developing reliable detection techniques is of great importance to verify the originality of a given image. In this work, a forgery detection technique based on the analysis of edge information is proposed. Unlike the conventional methods, the proposed technique is not restricted to the traces left by the act of double compression, but instead it allows the input image to be singly compressed or uncompressed. Experimental results confirmed that proposed method is able to localize forged area when the forged image is not double compressed.
  • Keywords
    data compression; fraud; image coding; digital image authenticity; digital image forgery detection; double image compression; user-friendly editing softwares; Digital images; Discrete cosine transforms; Forgery; Image coding; Image edge detection; Security; Splicing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics - Taiwan (ICCE-TW), 2015 IEEE International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/ICCE-TW.2015.7216848
  • Filename
    7216848