Title: An intelligent block matching approach for localisation of copy-move forgery in digital images

Authors: Gulivindala Suresh; Chanamallu Srinivasa Rao

Addresses: Department of Electronics and Communication Engineering, GMR Institute of Technology, Andhra Pradesh, India ' Department of Electronics and Communication Engineering, JNTUK University College of Engineering, Vizianagaram, Andhra Pradesh, India

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.

Keywords: digital forensics; copy-move forgery detection; CMFD; intelligent block matching; firefly algorithm.

DOI: 10.1504/IJCSE.2021.117014

International Journal of Computational Science and Engineering, 2021 Vol.24 No.4, pp.331 - 342

Received: 11 Sep 2019
Accepted: 11 May 2020
Published online: 12 Aug 2021 *

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