Neuro-fuzzy based first responder for image forgery identification

dc.contributor.author	Gaharwar, Gauravkumarsingh
dc.contributor.author	Nath, V.V
dc.contributor.author	Gaharwar, Raina
dc.date.accessioned	2019-05-21T05:11:23Z
dc.date.available	2019-05-21T05:11:23Z
dc.date.issued	2016-04
dc.identifier.issn	0974-6471
dc.identifier.uri	http://27.109.7.66:8080/xmlui/handle/123456789/554
dc.description	Oriental Journal of Computer Science and Technology, Vol-9, No.(1), Apr-2016, p.12-16	en_US
dc.description.abstract	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.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Oriental Scientific Publishing Company India	en_US
dc.subject	Image forgery	en_US
dc.subject	Copy-move forgery	en_US
dc.subject	Image splicing	en_US
dc.subject	Image retouching	en_US
dc.subject	Lightning condition	en_US
dc.subject	Neuro-fuzzy approach	en_US
dc.subject	ANN	en_US
dc.title	Neuro-fuzzy based first responder for image forgery identification	en_US
dc.type	Article	en_US