International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




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Review Papers | Information Technology | India | Volume 6 Issue 7, July 2017


Image Splicing Forgery Detection Using Local Binary Pattern and Shift Vector

Mohanad F. Jwaid Al-Husseinawi | Husam K. Salih | Saif A. Salim | Ahmed Q. Mohammed


Abstract: Digital images are the simple and fast way of communication. It can convey huge information in short time. But In our now life days various tools and application are available that manipulates the image without leaving any trace of tampering. So we need to design a system to detect the forged image. There are two types of image forgery first one is copy-move and second one is Image splicing. In this paper will base on the splicing image, and the proposed system will utilize Local Binary Pattern and Shift Vector techniques. The required steps to detect the forgery are pre-processing, feature extraction, feature matching.


Keywords: Digital image, Splicing image, LBP, Shift Vector


Edition: Volume 6 Issue 7, July 2017,


Pages: 406 - 409


How to Cite this Article?

Mohanad F. Jwaid Al-Husseinawi, Husam K. Salih, Saif A. Salim, Ahmed Q. Mohammed, "Image Splicing Forgery Detection Using Local Binary Pattern and Shift Vector", International Journal of Science and Research (IJSR), Volume 6 Issue 7, July 2017, pp. 406-409, https://www.ijsr.net/get_abstract.php?paper_id=ART20175144

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