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Detecting Region Duplication Forgery in Digital Image using SIFT Features


Author : Pooja S. Kotkar and S. S. Shriramwar

Pages : 1437-1440
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Abstract

Digital image are easily manipulated and edited by using photo editing software. Region duplication or copy – move is a special type of forgery that tried to hide the region of the image. By copied and pasted the continuous portion of pixels in an image at the different location in the same image. In this paper, we describing an effective method to detect region duplication or copy- move forgery in digital images. Our method start by first extracting Scale Invariant Feature Transform (SIFT) descriptor of an image, which is invariant to changes illumination, rotation, scaling etc. The proposed method show effective detection on automatically synthesized forgery image database with duplicated and distorted regions. This approach can be drastically reduces the time needed for the detection process and improve the accuracy of detection.

Keywords: Copy –move or Region duplication detection, Digital image forgery, Illumination, Rotation, SIFT.

Article published in International Journal of Current  Engineering  and Technology, Vol.4,No.3 (June- 2014)

 

 

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