Copy-move Forgery Detection using SIFT Descriptor
نویسندگان
چکیده
Today lots of software tools are available which are used to manipulate the images easily to change their originality. The technique which is usually used these days for tampering an image without leaving any microscopic evidence is copy-move forgery. There are many existing techniques to detect image tampering but their computational complexity is high. Here we propose a method in which we find the invariant features using SIFT in an image and find the matching through modified version of nearest neighbor on oriented patch of the images. The detected corresponding matches are filtered by whether they fit into a set of transformation given by RANSAC and multiRANSAC.
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تاریخ انتشار 2016