Name
Abstract | ||
|---|---|---|
Digital image tampering detection has become an active research area in the recent decade. Among the different types of image tampering, manipulation involving facial regions are of great interest as innocents are often victimized for unlawful benefits. Image splicing is a kind of image tampering where an image region is copied from one image and pasted onto another image. Principal component analysis is applied on facial regions extracted from illuminant maps to identify the facial region copy-pasted onto a group photo. Experiments were conducted on statistics-based and physics-based illumination maps and results showed that the method achieved a true positive rate of 62% and 64% respectively. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/SOCPAR.2015.7492803 | 2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR) |
Keywords | Field | DocType |
Digital image forensics,image tampering detection,principal component analysis | Digital image forensics,Computer vision,Feature detection (computer vision),Pattern recognition,Computer science,Facial region,Digital image,Image splicing,Artificial intelligence,Standard illuminant,True positive rate,Principal component analysis | Conference |
ISSN | Citations | PageRank |
2381-7542 | 2 | 0.37 |
References | Authors | |
18 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Divya S. Vidyadharan | 1 | 7 | 4.29 |
| Sabu M. Thampi | 2 | 122 | 28.13 |