IMAGE FORGERY DETECTION USING GENETIC ALGORITHM FOR SURGICALLY ALTERED FACE IMAGES

Authors

  • Girish D. Kalaskar Electronics and Telecommunication Department, Government college of Engineering, Jalgaon

Keywords:

mage forgery, Local region, Global region, Rhinoplasty, Granular Computing, Multiobjective Evolutionary algorithm, granule, feature extraction

Abstract

 In the Plastic surgery method, changing the shape of face or part of face is done. Such kind of changes can be achieved
by using plastic surgery methods and it is come under image forgery if it is done with the intent to hide individual’s identity. Now a
day, it is difficult to perform matching of surgically altered face by using automatic face detection algorithm. Some of algorithm fails
to perform on local and global region of face and there are some plastic surgery methods like Rhinoplasty, which cannot realised by
recognition algorithm. So in this paper Granular Computing is done up to Second level for Global and Local regions of face. In this
non-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.

Published

2015-07-25

How to Cite

Girish D. Kalaskar. (2015). IMAGE FORGERY DETECTION USING GENETIC ALGORITHM FOR SURGICALLY ALTERED FACE IMAGES. International Journal of Advance Engineering and Research Development (IJAERD), 2(7), 178–184. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/983