IMAGE FORGERY DETECTION USING GENETIC ALGORITHM FOR SURGICALLY ALTERED FACE IMAGES
| Author(s) | : | Girish D. Kalaskar |
| Institution | : | Electronics and Telecommunication Department, Government college of Engineering, Jalgaon |
| Published In | : | Vol. 2, Issue 7 — July 2015 |
| Page No. | : | 178-184 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
In the Plastic surgery method, changing the shape of face or part of face is done. Such kind of changes can be achievedby using plastic surgery methods and it is come under image forgery if it is done with the intent to hide individual’s identity. Now aday, it is difficult to perform matching of surgically altered face by using automatic face detection algorithm. Some of algorithm failsto perform on local and global region of face and there are some plastic surgery methods like Rhinoplasty, which cannot realised byrecognition algorithm. So in this paper Granular Computing is done up to Second level for Global and Local regions of face. In thisnon-disjoint face granules at multiple levels of granularity are generated. The feature extraction on each face granule is done.Afterwards Genetic algorithm is used for matching faces of pre and post surgery images.
Girish D. Kalaskar, “IMAGE FORGERY DETECTION USING GENETIC ALGORITHM FOR SURGICALLY ALTERED FACE IMAGES”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 7, pp. 178-184, July 2015.
