| dc.contributor.author | Noman Khalid, 01-235161-080 | |
| dc.date.accessioned | 2023-08-08T05:16:38Z | |
| dc.date.available | 2023-08-08T05:16:38Z | |
| dc.date.issued | 2020 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/15929 | |
| dc.description | Supervised by Dr. Samabia Tehseen | en_US |
| dc.description.abstract | Technological development in digital world has led to a huge increase in the popularity of digital images in all domains of life. However, sophisticated and easy to use photo editing software tools have made manipulation of images very easy. Thus there is a need to authenticate images especially in legal matters. The field of image authentication and forgery detection has gained huge popularity lately. A key domain in this regard is copymove forgery detection. Copy move forgery involves copying a portion of an image and pasting it to a different location in same image, with a purpose to conceal facts. The main objective of this project is to design and develop a desktop application to detect image forgery in digital images. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Computer Sciences | en_US |
| dc.relation.ispartofseries | BS (IT);P-9068 | |
| dc.subject | Image | en_US |
| dc.subject | Forgery | en_US |
| dc.subject | Detection | en_US |
| dc.title | Image Forgery Detection | en_US |
| dc.type | Project Reports | en_US |