• Journal of Internet Computing and Services
    ISSN 2287 - 1136(Online) / ISSN 1598 - 0170 (Print)
    http://jics.or.kr/

Hybrid copy-move-forgery detection algorithm fusing keypoint-based and block-based approaches


Chun-Su Park, Journal of Internet Computing and Services, Vol. 19, No. 4, pp. 7-13, Aug. 2018
10.7472/jksii.2018.19.4.7, Full Text:
Keywords: Copy move forgery, image tampering, keypoint-based methods, block-based methods

Abstract

The methods for detecting copy move frogery (CMF) are divided into two categories, block-based methods and keypoint-based methods. Block-based methods have a high computational cost because a large number of blocks should be examined for CMF detection. In addition, the forgery detection may fail if a tampered region undergoes geometric transformation. On the contrary, keypoint-based methods can overcome the disadvantages of the block-based approach, but it can not detect a tampered region if the CMF forgery occurs in the low entropy region of the image. Therefore, in this paper, we propose a method to detect CMF forgery in all areas of image by combining keypoint-based and block-based methods. The proposed method first performs keypoint-based CMF detection on the entire image. Then, the areas for which the forgery check is not performed are selected and the block-based CMF detection is performed for them. Therefore, the proposed CMF detection method makes it possible to detect CMF forgery occurring in all areas of the image. Experimental results show that the proposed method achieves better forgery detection performance than conventional methods.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[APA Style]
Chun-Su Park (2018). Hybrid copy-move-forgery detection algorithm fusing keypoint-based and block-based approaches. Journal of Internet Computing and Services, 19(4), 7-13. DOI: 10.7472/jksii.2018.19.4.7.

[IEEE Style]
C. Park, "Hybrid copy-move-forgery detection algorithm fusing keypoint-based and block-based approaches," Journal of Internet Computing and Services, vol. 19, no. 4, pp. 7-13, 2018. DOI: 10.7472/jksii.2018.19.4.7.

[ACM Style]
Chun-Su Park. 2018. Hybrid copy-move-forgery detection algorithm fusing keypoint-based and block-based approaches. Journal of Internet Computing and Services, 19, 4, (2018), 7-13. DOI: 10.7472/jksii.2018.19.4.7.