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

How to Cite?: 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", Volume 6 Issue 7, July 2017, International Journal of Science and Research (IJSR), Pages: 406-409, https://www.ijsr.net/getabstract.php?paperid=ART20175144, DOI: https://dx.doi.org/10.21275/ART20175144