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Copy Move Forgery Image Classification with Orientation Based Features by EM Algorithm

File Size:
1.46 MB
Volume:
Volume 3, Issue 5 (May, 2017)
Publication No:
IJTC201705008
Author:
Ankush Kapoor, Dr. Raman Chadha
Downloads:
3 x

Abstract:
Fact that the need for detection of digital forgeries has been recognized by the research community, very few publications are currently available. Digital watermarks have been proposed as a means for fragile authentication, content authentication, detection of tampering, localization of changes, and recovery of original content. While digital watermarks can provide useful information about the image integrity and its processing history, the watermark must be present in the image before the tampering occurs. This limits their application to controlled environments that include military systems or surveillance cameras. Unless all digital acquisition devices are equipped with a watermarking chip, it will be unlikely that a forgery-in the-wild will be detectable using a watermark. In this paper use COMFOD dataset by SVM with ORB features

Keywords:  
Copy Move Forgery, SVM, ORB