Splicing Forgery Detection Technique by using SWT and MS-LBP
Smita A. Nagtode1, Shrutika A. Korde2
1Smita A. Nagtode, Associate Professor, Datta Meghe Institute of Engineering, Technology & Research, Wardha, Sawangi, Maharashtra.
2Shrutika A. Korde, Associate Professor, Datta Meghe Institute of Engineering, Technology & Research, Wardha, Sawangi, Maharashtra.
Manuscript received on 08 April 2019 | Revised Manuscript received on 15 April 2019 | Manuscript Published on 26 April 2019 | PP: 703-707 | Volume-8 Issue-6S April 2019 | Retrieval Number: F61550486S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The authenticity of digital image find out by using the Image Forgery Detection technique. In the area of digital forensics and multimedia security it is more important. Photo editing software, powerful computers, and a device the high resolution images are used for the manipulation. So, it is very difficult for finding the transformation in the digital image by the human eyes. The proposed method to identify splicing forgery for images which are blurred, resized and angular transformed. These images need a special kind of feature extraction namely SWT in order to perform the task. MS-LBP is applied to the SWT for finding key-points and creating the database to show the forgery status as well as features of the image. Match the new keypoints with the saved databased and display the output.
Keywords: Image Splicing, Stationary Wavelet Transform, Singular Value Decomposition, Multi-Scale Local Binary Pattern.
Scope of the Article: Computer Science and Its Applications