Image Forgery Detection using Block Matching and K-Means Clustering Techniques-Reference-Cited by-同舟云学术

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Image Forgery Detection using Block Matching and K-Means Clustering Techniques

Published:2023-06-01 Issue: Volume: Page:
ISSN:
Container-title:2023 8th International Conference on Communication and Electronics Systems (ICCES)
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Author:

B Thanuja Bai¹,B Tharun Kumar¹,Y Tharun Raj¹,G Mahammed Rafi¹

Affiliation:

1. Madanapalle Institute of Technology and Science,DEPT of ECE,Madanapalle,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10192571/10192589/10192805.pdf?arnumber=10192805

Reference16 articles.

1. Using the triangle inequality to accelerate k-means;elkan;ICML,2003

2. Radix sort for vector multiprocessors

3. Detection of copy-move forgery in digital images;fridrich;Proceedings of Digital Forensic Research Workshop,2003

4. Fast copy-move forgery detection;lin;WSEAS Transactions on Signal Processing (World Scientific and Engineering Academy and Society),2009

Cited by 1 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. Advancements in Image Forgery Detection: A Comprehensive Survey;2023 Seventh International Conference on Image Information Processing (ICIIP);2023-11-22

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