Neuro-Fuzzy Based First Responder for Image forgery Identification

Gaurav Kumar Singh Gaharwar; V. V. Nath; Raina Gaharwar

Neuro-Fuzzy Based First Responder for Image forgery Identification

Gaurav Kumar Singh Gaharwar ¹, V. V. Nath ², Raina Gaharwar ³

Affiliations
1 Raksha Shakti University, Ahmedabad, India
2 Institute of Management, Nirma University, Ahmedabad, India
3 G. H. Patel Department of Computer Science and Technology, Sardar Patel University, Vallabh Vidyanagar, India

Abstract
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Image forgery is always been sought after field of digital forensics, as it becomes very convenient now to edit/forge any image with many desktop based and online tools available. Also, to prove authenticity of any image in the court of law, there is a need of algorithm which can used to check forgery of any image, irrespective of its forgery type. Proposed model in the paper aims to provide neuro-fuzzy based algorithm which utilizes capabilities of best algorithms for each type and provides accurate result about the forgery in the image. It also provides analysis about type of forgery in the image along with the area forgered in the image.