Image Forgery Detection based on Colour SIFT

Ustubiolu B., AYAS S., DOĞAN H., ULUTAŞ G.

23nd Signal Processing and Communications Applications Conference (SIU), Malatya, Turkey, 16 - 19 May 2015, pp.1741-1744 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2015.7130189
  • City: Malatya
  • Country: Turkey
  • Page Numbers: pp.1741-1744
  • Karadeniz Technical University Affiliated: Yes


Nowadays several modifications on the digital images are made with the rapid development of image editing tools in recent years. The most common method in the modifications made is copy-move forgery. Majority of the proposed methods to detect copy-move forgery in the literature are based on block and not resistant to various geometric transformation before moving coped image. For this aim the key points of each channel of forged color image are extracted by using Colour SIFT that is the key point-based method. In this study the comparison between SIFT and Colour SIFT is made. More effective forgery detection is made by obtaining more matching points using Colour SIFT than SIFT is seen in the comparison results. Moreover, proposed method detects forged image during rotation, scaling, JPEG compression is shown in the results.