ROW LEVEL IMAGE FORGERY DETECTION TECHNIQUE USING EMBEDDED DIGITAL SIGNATURES

  • Sahib Khan Politecnico Di Torino
  • Muneeza Wahid Department of Electrical Engineering, University of Engineering and Technology Peshawar, Pakistan
  • M. Abeer Irfan Department of Electronics and Telecommunications, Politecnico di Torino, Italy
  • M. Naeem Department of Computer Science, University of Peshawar, Pakistan
  • A. Gul Department of Statistics, Shaheed Benazir Bhutto Women University Peshawar, Pakistan
  • M. Haseeb Zafar Department of Electrical Engineering, University of Engineering and Technology Peshawar, Pakistan
Keywords: Steganography, Edge, Canny Edge Detection, Histogram Differences, Steganalysis

Abstract

Image forgery detection is one of the most important issues in today’s modern world. It has become very easy to change the contents of digital images with image editing tools and software. This paper is presenting a new technique to detect any changes made in digital images. This technique ensures the integrity of digital image at row level and using embedded digital signatures. Using message digest 5 algorithm, digital signature is generated from selected pixels of each row using selected pixels for and embedded in the least significant bits of selected pixel of corresponding row of digital image. The proposed technique is powerful enough to detect different image manipulations. The results show that it can successfully detect one least significant bit alteration made in any pixel of digital image.

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Published
2018-02-28
How to Cite
Khan, S., Wahid, M., Irfan, M., Naeem, M., Gul, A., & Zafar, M. (2018). ROW LEVEL IMAGE FORGERY DETECTION TECHNIQUE USING EMBEDDED DIGITAL SIGNATURES. JOURNAL OF ENGINEERING AND APPLIED SCIENCES, 37(1). Retrieved from https://journals.uetjournals.com/index.php/JEAS/article/view/2168