This paper is published in Volume-2, Issue-4, 2016
Area
Department of Computer Science
Author
Mrs. Nisha, Mr. Mohit Kumar
Org/Univ
ASRA College, Sangrur, India
Pub. Date
08 August, 2016
Paper ID
V2I4-1168
Publisher
Keywords
Copy Forgery, ORB, SIFT, SURF

Citationsacebook

IEEE
Mrs. Nisha, Mr. Mohit Kumar. Review of Copy Move Forgery with Key Point Features, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Mrs. Nisha, Mr. Mohit Kumar (2016). Review of Copy Move Forgery with Key Point Features. International Journal of Advance Research, Ideas and Innovations in Technology, 2(4) www.IJARIIT.com.

MLA
Mrs. Nisha, Mr. Mohit Kumar. "Review of Copy Move Forgery with Key Point Features." International Journal of Advance Research, Ideas and Innovations in Technology 2.4 (2016). www.IJARIIT.com.

Abstract

It involves the following steps: first, establish a Gaussian scale space; second, extract the orientated FAST key points and the ORB features in each scale space; thirdly, revert the coordinates of the orientated FAST key points to the original image and match the ORB features between every two different key points using the hamming distance; finally, remove the false matched key points using the RANSAC algorithm and then detect the resulting copy-move regions. The experimental results indicate that the new algorithm is effective for geometric transformation, such as scaling and rotation,and exhibits high robustness even when an image is distorted by Gaussian blur, Gaussian white noise and JPEG recompression.
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