Open AccessPassive Copy-Move Tamper Detection Methods for Digital Images
Author(s) -
V. Thirunavukkarasu,
M. Ranganathappa,
J. Satheesh Kumar
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c4730.098319
Subject(s) - computer science , key (lock) , artificial intelligence , zernike polynomials , computer vision , digital image , transformation (genetics) , image (mathematics) , moment (physics) , image processing , computer security , biochemistry , chemistry , physics , classical mechanics , wavefront , optics , gene
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.