Copy-move forgery detection: Survey, challenges and future directions. (November 2016)

• Record Type: Journal Article
• Authors: Warif, Nor Bakiah Abd; Wahab, Ainuddin Wahid Abdul; Idris, Mohd Yamani Idna; Ramli, Roziana; Salleh, Rosli; Shamshirband, Shahaboddin; Choo, Kim-Kwang Raymond
• Is Part Of: Journal of network and computer applications. Volume 75(2016)
• Page Start: 259
• Page End: 278
• Publication Date: 2016-11
• Subjects: Copy-move forgery -- Image forgery -- Blind detection -- Copied region -- Image forensics; Microcomputers -- Periodicals; Computer networks -- Periodicals; Application software -- Periodicals; Micro-ordinateurs -- Périodiques; Réseaux d'ordinateurs -- Périodiques; Logiciels d'application -- Périodiques; Application software; Computer networks; Microcomputers; Periodicals; 004.05; 004
• DOI: 10.1016/j.jnca.2016.09.008
• Languages: English
• ISSNs: 1084-8045

Abstract

Abstract: The authenticity and reliability of digital images are increasingly important due to the ease in modifying such images. Thus, the capability to identify image manipulation is a current research focus, and a key domain in digital image authentication is Copy-move forgery detection (CMFD). Copy-move forgery is the process of copying and pasting from one region to another location within the same image. In this paper, we survey the recent developments in CMFD, and describe the entire CMFD process involved. Specifically, we characterize the common CMFD workflow of feature extraction and matching process using block or keypoint-based approaches. Instead of listing the datasets and validations used in the literature, we also categorize the types of copied regions. Finally, we also outline a number of future research directions. Graphical abstract: Highlights: Copy-move forgery detection. Authenticity and reliability of digital images. Survey of copy-move forgery detection techniques. Feature extraction and matching process. Data inconsistencies and high scalability.