Digital image forgery detection using SIFT feature

There has been an extensive growth in the area of digital image processing. One of the main issues in the real world is to judge the authenticity of a given image. Nowadays it is very easy to tamper and forge digital image with the advancement of the powerful digital image processing software and easy availability of the tools. The most common form of image manipulation techniques is the region duplication also called as copymove forgery where a portion of the image is copied and paste to another portion in the same digital image. To investigate such forensic analysis, various techniques and method have been developed in the past literature. There has been an immense research of finding such tampered pixel blocks. This method cannot handle cases when the copied region is scaled or rotated to a new region. This paper proposes an efficient algorithm based on scale invariant feature transform (SIFT) with feature extraction which is invariant to translation, scale, noise and rotation. It comprises transformation of the input image to produce a standard representation and then detection of keypoint and feature descriptor is applied along with a matching over all the keypoints.

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