A Robust Blind Image Forensic-Detection Method Based On Fuzzy Technique
V.Thirunavukkarasu1, J.Satheesh Kumar2
1Dr.V.Thirunavukkarasu, School of CSA, REVA University, Bangalore, India.
2Dr.J.Satheesh Kumar, Department of Computer Applications, Bharathiar University, Coimbatore, India.
Manuscript received on 05 August 2019. | Revised Manuscript received on 10 August 2019. | Manuscript published on 30 September 2019. | PP: 5926-5929 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4742098319/19©BEIESP | DOI: 10.35940/ijrte.C4742.098319
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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: Blind forensic-investigation in a digital image is a new research direction in image security. It aims to discover the altered image content without any embedded security scheme. Block and key point based methods are the two dispensation options in blind image forensic investigation. Both the techniques exhibit the best performance to reveal the tampered image. The success of these methods is limited due to computational complexity and detection accuracy against various image distortions and geometric transformation operations. This article introduces different blind image tampering methods and introduces a robust image forensic investigation method to determine the copy-move tampered image by means of fuzzy logic approach. Empirical outcomes facilitate that the projected scheme effectively classifies copy-move type of forensic images as well as blurred tampered image. Overall detection accuracy of this method is high over the existing methods.
Index Terms: Blurring, Computational Complexity, Detection Accuracy, Fuzzy Logic, Forensic-Investigation, Image Security.
Scope of the Article: Fuzzy Logics