Title :
Detection of Copy-Move Forgery based on one improved LLE method
Author_Institution :
Coll. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
Digital image forensic is an emerging frontier field of image processing area. There are many kind of forgeries, in which copy-move forgery is the most important and popular one. Then, digital image forensic which aims at detecting copy-move forgery is very important. A technique based on PCA to detect the Copy-Move Forgery has been carried out. But PCA technique can´t detect the fused edge. We present a new approach based on one improved LLE. This new approach can detect not only copy-move areas but also the fused edges.
Keywords :
computer forensics; image processing; principal component analysis; PCA; copy-move forgery detection; digital image forensic; image processing; improved LLE method; Authentication; Digital images; Educational institutions; Forensics; Forgery; Image edge detection; Image processing; Pixel; Principal component analysis; Sorting; LLE; PCA; copy-move forgery; digital image forensic; forgery; nonlinear dimensionality reduction;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5486861
