Copy-move forgery detection in digital image

• Main Authors: Alamro, Loai, Yusoff, Nooraini
• Format: Article
• Published: AIP Publishing LLC 2016
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://repo.uum.edu.my/23347/; http://doi.org/10.1063/1.4960855

Copy-move is considered as one of the most popular kind of digital image tempering, in which one or more parts of a digital image are copied and pasted into different locations.Geometric transformation is among the major challenges in detecting copy-move forgery of a digital image.In such forgery, the copied and moved parts of a forged image are either rotated or/and re-scaled.Hence, in this study we propose a combination of Discrete Wavelet Transform (DWT) and Speeded Up Robust Features (SURF) to detect a copy-move activity.The experiments results prove that the proposed method is superior with overall accuracy 95%. The copy-move attacks in digital image has been successfully detected and the method is also can detect the fraud parts exposed to rotation and scaling issue.