Cover
Vol. 19 No. 1 (2023)

Published: June 30, 2023

Pages: 79-86

Original Article

Fragile Watermarks Detecting Forged Images

Hala K. Hussein 1 Ra'ad A. Muhajjar Bashar S. Mahdi 2
1Computer Science Dept., College of Computer Science and Information Technology, University of Basrah, Basrah, Iraq
2Computer Science Dept., College of Computer Science, University of Technology, Baghdad, Iraq,
History
  • Received: September 4, 2022
  • Revised: October 1, 2022
  • Accepted: October 1, 2022
  • Available Online: January 24, 2023
DOI

https://doi.org/10.37917/ijeee.19.1.10

Abstract

Technology and digital communications have advanced so that digital photos, videos, or text may be easily manipulated by those not authorized to do so. In addition, the availability of specialized picture editing programs like Photoshop has simplified the process of altering photographs. At first glance, there may seem to be no problem, especially when an image editing method is necessary to delete or add a certain scene that increases the picture's beauty. But what about personal images or images with copyright? Attempts are constantly made to spoof these images using different approaches. Therefore, measures to reduce the likelihood of counterfeiting in digital and printed forms of media are required. The proposed approach aims to detect a counterfeit in images using a unique generator that conceals the data represented by the embedded watermark utilizing modern visual cryptography and hash algorithms. Image extractions may easily be analyzed for signs of forgery. As a result, our approach will detect and validate phony documents and images.

Keywords

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