Asset Details

  • Description:
  • Detection results of the proposed method for translation and geometric attacks: a–b plain copy–move forgery c–d Rotation e–f Scaling. (Top) Forged test images. (Center) Matched nodes. (Bottom) Final output
  • License:
  • Rights Managed
  • Rights Holder:
  • Springer Nature
  • License Rights Holder:
  • © Springer Science+Business Media, LLC, part of Springer Nature 2018
  • Asset Type:
  • Image
  • Asset Subtype:
  • Figure
  • Image Orientation:
  • Landscape
  • Image Dimensions:
  • 1439 x 711
  • Image File Size:
  • 451 KB
  • Creator:
  • Rahul Dixit, Ruchira Naskar
  • Credit:
  • Dixit, R., & Naskar, R. (2018). Region duplication detection in digital images based on Centroid Linkage Clustering of key–points and graph similarity matching. Multimedia Tools and Applications, 78(10), 13819-13840. https://doi.org/10.1007/s11042-018-6666-1.
  • Collection:
  • Keywords:
  • Copy–move forgery, Centroid Linkage Clustering, Digital image forensics, Graph similarity matching, Maximally stable extremal region, Region duplication
  • Restrictions:
  • Property Release:
  • No
  • Model Release:
  • No
  • Purchasable:
  • Yes
  • Sensitive Materials:
  • No
  • Article Authors:
  • Rahul Dixit, Ruchira Naskar
  • Article Copyright Year:
  • 2018
  • Publication Volume:
  • 78
  • Publication Issue:
  • 10
  • Publication Date:
  • 09/18/2018
  • DOI:
  • https://doi.org/10.1007/s11042-018-6666-1

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