An intelligent block matching approach for localisation of copy-move forgery in digital images. (28th July 2021)

• Record Type: Journal Article
• Authors: Suresh, Gulivindala; Rao, Chanamallu Srinivasa
• Is Part Of: International journal of computational science and engineering. Volume 24:Number 4(2021)
• Page Start: 331
• Page End: 342
• Publication Date: 2021-07-28
• Subjects: digital forensics -- copy-move forgery detection -- CMFD -- intelligent block matching -- firefly algorithm; Computer science -- Mathematics -- Periodicals; Computer simulation -- Mathematical aspects -- Periodicals; Computational intelligence -- Periodicals; 004.015105
• Languages: English
• ISSNs: 1742-7185

Abstract

Block-based copy-move forgery detection (CMFD) methods work with features from overlapping blocks. As overlapping blocks are involved, thresholds related to similarity and the physical distances are defined to identify the duplicated regions. However, these thresholds are controlled manually in localising the forged regions. In order to overcome this, an intelligent block matching approach for localisation is proposed using colour and texture features (CTF) through firefly algorithm. Investigation of the proposed CTF method is carried out on a standard database, which achieved an average true detection rate of 0.98 and an average false detection rate of 0.07. The proposed CTF method is robust against brightness change, colour reduction, blurring, contrast adjustment attacks, and additive white Gaussian noise. Performance analysis of the CTF method validates its superiority over other existing methods.