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Review Papers | Information Technology | India | Volume 6 Issue 7, July 2017 | Popularity: 6.4 / 10
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
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