Binary Pattern for Copy-Move Image Forgery Detection-Reference-Cited by-同舟云学术

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Binary Pattern for Copy-Move Image Forgery Detection

Published:2023 Issue: Volume: Page:475-495
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Rathore Neeraj,Jain Neelesh,Singh Pawan

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-0189-0_37

Reference64 articles.

1. Ganesan C, Bhuma VR. Digital image forgery detection using color illumination and decision tree classification

2. Kurmi M (2017) New copy-move image forgery detection based on DCT. Int J Adv Res Comput Sci 8(5)

3. Birajdar GK, Mankar VH (2013) Digital image forgery detection using passive techniques: a survey. Digit Investig 10(3):226–245

4. Kashyap A, Agarwal M, Gupta H (2017) Detection of copy-move image forgery using SVD and cuckoo search algorithm. arXiv preprint arXiv:1704.00631

5. Kaur M, Walia S (2016) Forgery detection using noise estimation and hog feature extraction. Int J Multimed Ubiquitous Eng 11(4):37–48

Cited by 3 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

1. Fused Deep Representation of Traditional Features for Copy-Move Forgery Detection;2024 International Conference on Machine Intelligence and Smart Innovation (ICMISI);2024-05-12

2. Exploring Pseudo-Zernike Moments for Effective Image Forgery Detection;2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN);2024-05-03

3. Exploring the Effectiveness of Machine Learning Algorithms in Image Forgery Detection;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2024-01-10

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