Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
488462 | Procedia Computer Science | 2016 | 7 Pages |
Abstract
One of the problem in image forensics is to check the authenticity of image. This can be very important task when images are used as an evidence which cause change in judgment like, for example in a court of law. Image is forged by using different techniques but in that most common technique is copy-move forgery. Copy-move forgery is created by copying the region from a particular image and pasting that region on same image to mislead the user. This type of forgery is done using availability of new sophisticated software and applications. This type of forgery is also done in video. In this paper we survey on different keypoint based copy-move forgery detection methods with different parameters.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Devanshi Chauhan, Dipali Kasat, Sanjeev Jain, Vilas Thakare,