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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% This code was developed by Li Yuanman [email protected] 19/3/2018 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Please cite these papers if you use this code: [1] Y. M. Li and J. T. Zhou, "Fast and Effective Image Copy-Move Forgery Detection via Hierarchical Feature Point Matching", To appear in IEEE Trans. on Inf. Forensics and Security (T-IFS), 2018. [2] Y. M. Li and J. T. Zhou, "Image Copy-Move Forgery Detection Using Hierarchical Feature Point Matching", ASC, 2016. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 1. We have recomplied the vl_feat libary for adaption, which is also included our source code. 2. The result of each run could be slightly different due to the randomness involved. 3. all the pictures shown in our (journal) paper can be repoduced by running the script 'runDemo.m' We test the results based on the current code (windows7 && matlab2017a): TPR FPR F1 F220: 100%, 2.72% 98.65 F600: 97.50% 5.68% 91.50 GRIP: 100%, 0% 100 FAU: 100%, 2.08% 98.97 CMH+GRIPori: 96.3%, 0% 98.11 COVERAGE: 80.22% 41.76% 72.28
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