A Review Paper on Digital Image Forgery Detection Techniques using Matlab Tool
Keywords:
Image Forgery, RGB-Gray scale conversion, binarization, Feature Selection, Baye’s Classifier, ClassificationAbstract
Images have the capability to render a large amount
of information. With the widespread popularity of
social networking services such as WhatsApp,
Facebook, Instagram, Snapchat, Twitter etc., there
has been a huge increase in the volume of image data
that is shared instantly. This has also increased the
cases of fake or forged images being shared which
can have serious after-effects. Image forgery can
affect the image of persons, organizations and
communities and in some cases cause social unrest
and violence. Due to the size and complexity of the
data being shared, it is almost infeasible for manual
detection of image forgery. Therefore, it has become
mandatory to design automated systems which can
detect image forgery in very less time and with high
accuracy. Since the data size to be analyzed by time
critical applications is enormous indeed, therefore
the conventional techniques prove to be infeasible to
detect image forgery with high level of accuracy
which makes it mandatory for using automated tools.
In this proposed work specific approach will be used
prior to classification of the image as forged or
unforged. For this task Matlab Tool will be used due
to the availability of in-built mathematical tools for
engineering problems.
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