• DocumentCode
    258932
  • Title

    Shape Based Copy Move Forgery Detection Using Level Set Approach

  • Author

    Sudhakar, K. ; Sandeep, V.M. ; Kulkarni, Santosh

  • Author_Institution
    Jaya Prakash Narayan Coll. of Eng., Mahabubnagar, India
  • fYear
    2014
  • fDate
    8-10 Jan. 2014
  • Firstpage
    213
  • Lastpage
    217
  • Abstract
    This paper proposes a new method to Detect Copy Move Forgery using shape signatures derived from distance map. The method is simple, fast, robust, efficient as compared to traditional approaches and is invariant to scale, rotation and aspect ratio.
  • Keywords
    digital signatures; image coding; aspect ratio; distance map; level set approach; rotation invariance; scale invariance; shape based copy move forgery detection; shape signatures; Deformable models; Feature extraction; Forgery; Image segmentation; Level set; Shape; Vectors; Chan-Vese method; Copy move forgery detection; distance map; level-set; segmentation; shape signatures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Image Processing (ICSIP), 2014 Fifth International Conference on
  • Conference_Location
    Jeju Island
  • Type

    conf

  • DOI
    10.1109/ICSIP.2014.40
  • Filename
    6754879
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=258932