International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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May. 2022
Submitted Papers : 80
Accepted Papers : 10
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Acc. Perc : 12%
Issue Published : 111
Paper Published : 1546
No. of Authors : 4203
  Journal Paper


Paper Title :
Spatial Blind Copy-Move Forgery Detection using Feature Based Homography Matching Method in Video Frames

Author :Tejashri P. Patil, Mahadev S.Patil

Article Citation :Tejashri P. Patil ,Mahadev S.Patil , (2020 ) " Spatial Blind Copy-Move Forgery Detection using Feature Based Homography Matching Method in Video Frames " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 43-47, Volume-8,Issue-9

Abstract : In the current time of the advanced world, computerized pictures and recordings are the principle bearers of data. These computerized pictures are broadly utilized as proof in the law of the court, are commonly used to distribute data by papers and magazines. However, promptly accessible photograph altering programmings are utilized to alter these wellsprings of data. Accordingly checking genuineness and trustworthiness of the advanced pictures are significant issues of concern. In a large portion of the altering cases duplicate move fabrication is utilized to alter the advanced pictures as it is anything but difficult to perform however especially hard to recognize by naked eyes. Scale Invariant Feature Transform (SIFT) based descriptor highlights are separated from input picture which are then coordinated utilizing RANSAC homography coordinating technique. At last arranging calculation RANSAC is utilized to coordinate the highlights and to take the choice. The outcomes show that calculation works productively. Keywords - SIFT (Scale Invariant Feature Transform), Copy Move Forgery, RANSAC, Homography, Descriptors Matching, Tempering Detection.

Type : Research paper

Published : Volume-8,Issue-9


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