Funder
Malaysian Ministry of Education
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing,Software
Reference42 articles.
1. Al-Qershi, O. M., & Khoo, B. E. (2013). Passive detection of copy-move forgery in digital images: state-of-the-art. Forensic Science International,
231(1–3), 284–295.
2. Al-Qershi, O. M., Khoo, B. E. (2014). Enhanced matching method for copy-move forgery detection by means of Zernike moments. In Lecture notes in computer science, LNCS (Vol. 9023, pp. 485–497). Berlin: Springer.
3. Al-Qershi, O. M., & Khoo, B. E. (2016). Copy-move forgery detection using locality sensitive hashing and k-means clustering. In Proceedings of the information science and applications (ICISA) (pp. 663–672).
4. Amerini, I., Barni, M., Caldelli, R., & Costanzo, A. (2013). Removal and injection of keypoints for SIFT-based copy-move counter-forensics. EURASIP Journal on Information Security,
8, 1–12.
5. Bakiah, N., et al. (2016). Copy-move forgery detection: Survey, challenges and future directions. Journal of Network and Computer Applications,
75, 259–278.
Cited by
27 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献