Copy Move Forgery Detection Using SIFT Features- An Analysis

Rupal Amit Kapdi, Neetu Yadav


Emphasis on the need for authentication of image content has increased since images have been inferred to have some cognitive effects on human brain coupled along with the pervasiveness of images. General form of malicious image manipulations is Copy Move Forgery (CMF) in which a region is cloned from source location and pasted onto the same image at a target location. Techniques often used to hide or increase presence of an object in the image. This need to establish detection of image originality and authentication without using any prior details of the image has increased by many folds. In this paper, we present a list of comparisons on the detection of image forgeries mostly pertaining to CMF using SIFT method. An effort has been made to produce suffused paper by quoting most of the recent practices by providing an in depth analysis of range of different techniques for forgery localization.


Copy-move forgery; image forgery; image forensics; SIFT features.

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Copyright (c) 2015 Rupal Amit Kapdi, Neetu Yadav

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