A New Approach of copy move Forgery Detection using Rigorous Preprocessing and Feature Extraction
|A.K. Chakraverti1 , V. Dhir2|
1 RIC (Computer Science and Engineering), IKG-Punjab Technical University, Jalandhar, India.
2 Department of Computer Science and Engineering, M.K. Group of Institution, Amritsar, India.
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Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-12 , Page no. 50-56, Dec-2017
Online published on Dec 31, 2017
Copyright © A.K. Chakraverti, V. Dhir . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: A.K. Chakraverti, V. Dhir, “A New Approach of copy move Forgery Detection using Rigorous Preprocessing and Feature Extraction”, International Journal of Computer Sciences and Engineering, Vol.5, Issue.12, pp.50-56, 2017.
MLA Style Citation: A.K. Chakraverti, V. Dhir "A New Approach of copy move Forgery Detection using Rigorous Preprocessing and Feature Extraction." International Journal of Computer Sciences and Engineering 5.12 (2017): 50-56.
APA Style Citation: A.K. Chakraverti, V. Dhir, (2017). A New Approach of copy move Forgery Detection using Rigorous Preprocessing and Feature Extraction. International Journal of Computer Sciences and Engineering, 5(12), 50-56.
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|these days, advanced pictures are being used in an extensive variety of uses and for numerous reasons. They additionally assume an imperative part in the capacity and exchange of visual data, particularly the mystery ones. With this far reaching utilization of advanced pictures, notwithstanding the expanding number of devices and programming of computerized pictures altering, it has turned out to be anything but difficult to control and change the real data of the picture. In this way, it has turned out to be important to check the credibility and the respectability of the picture by utilizing present day and advanced methods, which add to examination and comprehension of the pictures’ substance, and after that ensure their trustworthiness. There are many sorts of picture imitation, the most critical and prominent sort is called duplicate glue fabrication, which utilizes a similar picture during the time spent falsification. This sort of fraud is utilized for one of two things, first to cover a protest or scene by replicating the region of the picture and gluing it on another zone of a similar picture. In this paper we have presented a new approach of copy move forgery detection. proposed scheme uses Oriented FAST and rotated BRIEF(ORB) alternative of scale invariant feature transform (SIFT) technique which is integrated with modified local contrast modification-contrast limited adaptive histogram equalization(LCM-CLAHE). Experimental results shows that proposed scheme is more promising in terms of false positive rate(FPR) and true positive rate(TPR) compare to state of the art techniques.|
|Key-Words / Index Term :|
|Image Processing, Image Enhancement, Histogram Equalization, SIFT, TPR, FPR, Copy move forgery, ORB|
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