Passive Copy-Move Tamper Detection Methods for Digital Images
V.Thirunavukkarasu1, M.Ranganathappa2, J.SatheeshKumar3
1Dr.V.Thirunavukkarasu, School of CSA, REVA University, Bengaluru, India.
2M.Ranganathappa, School of CSA, REVA University, Bengaluru, India.
3Dr.J.Satheesh Kumar, Department of Computer Applications, Bharathiar University, Coimbatore, India.
Manuscript received on 14 August 2019. | Revised Manuscript received on 19 August 2019. | Manuscript published on 30 September 2019. | PP: 5882-5887 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4730098319/19©BEIESP | DOI: 10.35940/ijrte.C4730.098319
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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: Copy-move tamper discovery in digital image is a significant research application in forensic investigation. Developing an imperative and reliable means to discover copy-move tampering in order to guarantee the authenticity of digital images is a solitary research area in image processing. This category of tampering is performed to hide some unwanted information or duplicate certain region of image. This article introduces a generic algorithmic skeleton to copy-move tamper discovery Experiments are carried out on three states of art copy-move tamper detection methods with respect to three different data sets. Empirical results indicates that PCA based method is better than Frequency transformation and Zernike moment based method in terms of detection accuracy in all three data sets. This article also identified the key challenges and opportunities in copy-move tamper detection.
Index Terms: Copy-Move, Forensic Investigation, Image Processing, Legitimacy, Robust.
Scope of the Article: Image Processing and Pattern Recognition