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http://dx.doi.org/10.9728/dcs.2015.16.3.389

Hybrid Detection Algorithm of Copy-Paste Image Forgery  

Choi, YongSoo (Liberal Arts & Teaching(Multimedia), Sungkyul University)
Atnafu, Ayalneh Dessalegn (Graduate School of Information & Security, Korea University)
Lee, DalHo (Dept. of Electronics, GaChon University)
Publication Information
Journal of Digital Contents Society / v.16, no.3, 2015 , pp. 389-395 More about this Journal
Abstract
Digital image provides many conveniences at the internet environment recently. A great number of applications, like Digital Library, Stock Image, Personal Image and Important Information, require the use of digital image. However it has fatal defect which is easy to be modified because digital image is only electronic file. Numerous digital image forgeries have become a serious problem due to the sophistication and accessibility of image editing software. Copy-Move forgery is the simplest type of forgery that involves copying portion of an image and paste it on different location within the image. There are many approaches to detect Copy-Move forgery, but all of them have their own limitations. In this paper, visual and invisible feature based forgery detection techniques are tested and analyzed. The analysis shows that pros and cons of these two techniques compensate each other. Therefore, a hybrid of visual based and invisible feature based forgery detection that combine the merits of both techniques is proposed. The experimental results show that the proposed algorithm has enhanced performance compared to individual techniques. Moreover, it provides more information about the forgery, like identifying copy and duplicate regions.
Keywords
Forgery Detection; Forensics; Copy-Move;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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