COPY MOVE FORGERY DETECTION IN DIGITAL IMAGES USING IMPROVED SIFT (I-SIFT) APPROACH
| Main Author: | Lovepreet Kaur*1 & Sandeep Singh Dhaliwal2 |
|---|---|
| Format: | Article |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3700407 |
Daftar Isi:
- With this across the board use of computerized pictures, notwithstanding the expanding number of instruments and programming of advanced pictures altering, it has ended up being definitely not hard to control and change the genuine information of the image. Existing system for forgery detection has many problems like maximum angle that existing system can detect is 40 degree rotation. Existing systems cannot detect forgery if duplicate content is compressed or enhanced. In the proposed system, we have developed a novel approach namedI-SIFT for copy move forgery detection that can detect the copy move forgery in digital images. Proposed system is efficient in detecting the copy move forgery if forged area is compressed, enhanced or rotated up to 270 degree.