Authors :
Nagaveni, Sujata.
Volume/Issue :
Volume 3 - 2018, Issue 6 - June
Google Scholar :
https://goo.gl/DF9R4u
Scribd :
https://goo.gl/dvjr3G
Thomson Reuters ResearcherID :
https://goo.gl/3bkzwv
Abstract :
This The proposed method which explore regarding transmuted spaces, denoted by image illuminant maps. As to recommend an approach for choosing corresponding procedures of characterizing the detection of image forgeries by using its visual possessions for an effective and automated detection. Here we represent a new and effective image forgery detection scheme based on combining all the three features of an image i.e. color, texture and shape information. In the methodology we mainly focused on identifying image forgeries which contains the info regarding individuals and explains a way for detecting forgery images (i.e. the face of a person in an image).As a result, the proposed method which increases the accuracy by 20%.
Keywords :
Image processing, Support Vector machine, Illuminant Maps, Forgery Image.
This The proposed method which explore regarding transmuted spaces, denoted by image illuminant maps. As to recommend an approach for choosing corresponding procedures of characterizing the detection of image forgeries by using its visual possessions for an effective and automated detection. Here we represent a new and effective image forgery detection scheme based on combining all the three features of an image i.e. color, texture and shape information. In the methodology we mainly focused on identifying image forgeries which contains the info regarding individuals and explains a way for detecting forgery images (i.e. the face of a person in an image).As a result, the proposed method which increases the accuracy by 20%.
Keywords :
Image processing, Support Vector machine, Illuminant Maps, Forgery Image.
