Effect of Image Splicing and Copy Move Forgery on Haralick Features of a Digital Image

Authors

  • Nura Sulaiman Department of Computer Science, Ahmadu Bello UniversityZaria, Nigeria
  • Mustapha Aminu Bagiwa Department of Computer Science Ahmadu Bello University Zaria, Nigeria.
  • Kasim Shafii Department of Computer Science Ahmadu Bello University Zaria, Nigeria.
  • Abubakar Usman Mohammed Department of Computer Science, Federal University Gusau,Gusau Nigeria

DOI:

https://doi.org/10.56471/slujst.v4i1&2.269

Keywords:

splicing, copy move, forgery, haralick features

Abstract

Nowadays, digital images have become the fastest way of transferring information, but the existence of advanced photo-editing tools makes it easy to alter digital image content which may be used as proof in a legal case, thus creating a serious problem.  The most frequent techniques of image forgery include splicing and copy move. Splicing is an image forgery technique in which, the forger crops a part of the first image and places it in the second image while Copy move forgery is a type of image manipulation that involves copying and pasting at least one component of an image onto other areas of the same image for the purpose of duplication or removal of objects in the image. Finding the integrity of a digital image is critical since it can be used as a legal proof in a multitude of sectors, including investigation of a crime scene. Equally, finding the features of an image that change as a result of image manipulation such as copy move and splicing is very important as this can be used to distinguish between forged and original image. Therefore, in this paper, we looked upon the effect of image splicing and copy move forgery on haralick features of a digital image. CoMoFoD dataset and Images frames extracted from original and spliced videos were used in this experiment. The result of this experiment shows that splicing and copy move manipulations have no effect on haralick features of a digital image. As a result, these features cannot be used to tell if an image has been spliced or was manipulated by a copy move forgery.

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Published

2022-07-20