Region Duplication Forgery Detection Technique Based on SURF and HAC
Joint Authors
Mishra, Parul
Mishra, Nishchol
Sharma, Sanjeev
Patel, Ravindra
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-07
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Region duplication forgery detection is a special type of forgery detection approach and widely used research topic under digital image forensics.
In copy move forgery, a specific area is copied and then pasted into any other region of the image.
Due to the availability of sophisticated image processing tools, it becomes very hard to detect forgery with naked eyes.
From the forged region of an image no visual clues are often detected.
For making the tampering more robust, various transformations like scaling, rotation, illumination changes, JPEG compression, noise addition, gamma correction, and blurring are applied.
So there is a need for a method which performs efficiently in the presence of all such attacks.
This paper presents a detection method based on speeded up robust features (SURF) and hierarchical agglomerative clustering (HAC).
SURF detects the keypoints and their corresponding features.
From these sets of keypoints, grouping is performed on the matched keypoints by HAC that shows copied and pasted regions.
American Psychological Association (APA)
Mishra, Parul& Mishra, Nishchol& Sharma, Sanjeev& Patel, Ravindra. 2013. Region Duplication Forgery Detection Technique Based on SURF and HAC. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1011802
Modern Language Association (MLA)
Mishra, Parul…[et al.]. Region Duplication Forgery Detection Technique Based on SURF and HAC. The Scientific World Journal No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1011802
American Medical Association (AMA)
Mishra, Parul& Mishra, Nishchol& Sharma, Sanjeev& Patel, Ravindra. Region Duplication Forgery Detection Technique Based on SURF and HAC. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1011802
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1011802