Name
Title | ||
|---|---|---|
Keypoints based enhanced multiple copy-move forgeries detection system using density-based spatial clustering of application with noise clustering algorithm. |
Abstract | ||
|---|---|---|
In this study, the problem of detecting if an image has tampered is inquired; especially, the attention has been paid to the case in which the portion of an image is copied and then pasted onto another region to create a duplication or to hide some important portion of the image. The proposed copy-move forgery detection system is based on the scale-invariant feature transform (SIFT) features extra... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-ipr.2018.5576 | IET Image Processing |
Keywords | Field | DocType |
counterfeit goods,feature extraction,image matching,object detection,pattern clustering,security of data,transforms | Scale-invariant feature transform,Computer vision,Pattern recognition,Forgery detection,Artificial intelligence,Feature transform,Cluster analysis,Mathematics | Journal |
Volume | Issue | ISSN |
12 | 11 | 1751-9659 |
Citations | PageRank | References |
2 | 0.36 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Badal Soni | 1 | 8 | 1.85 |
| Pradip K. Das | 2 | 50 | 11.56 |
| Dalton Meitei Thounaojam | 3 | 25 | 5.46 |