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Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/578909
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dc.contributor.authorMohd Dilshad Ansari
dc.contributor.authorSatya Prakash Ghrera
dc.contributor.authorMohd Wajid
dc.date.accessioned2023-11-06T03:10:13Z-
dc.date.available2023-11-06T03:10:13Z-
dc.date.issued2017-04
dc.identifier.issn0128-7680
dc.identifier.otherukmvital:116319
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/578909-
dc.descriptionAn image forgery is a common problem which causes the negative impact on society. In the earlier period it did not affect the general public because the sophisticated image processing software and editing tools were not easily available. Thus, the rapid growth of the image processing software makes this task pretty easy. If it is done with care then it is very difficult for humans to recognize visually whether the image is original or forged. Therefore, the authenticity of an image is a necessity of today’s digital era. The copy-move image forgery is the most common type of image forgery in which an area or object is copied and pasted at some other places within the same image in order to hide some important features of the image. In this paper, we have proposed copy-move image forgery detection technique based on the image projection profiling. First, we convert the input image into binary image. The horizontal and vertical projection profiles, which are used in estimating the rectangular regions of copy-move image forgery, are then calculated. The experimental result shows that the proposed approach is able to detect copy-move region successfully and significant improvements have been suggested in computational time compared to other reported algorithms. The performance of proposed approach is demonstrated on various forged images.
dc.language.isoen
dc.publisherUniversiti Putra Malaysia Press
dc.relation.haspartPertanika Journals
dc.relation.urihttp://www.pertanika.upm.edu.my/regular_issues.php?jtype=2&journal=JST-25-2-4
dc.rightsUKM
dc.subjectCopy-move forgery detection
dc.subjectImage forgery
dc.subjectImage projection profiling
dc.subjectTampering
dc.titleAn approach for identification of copy-move image forgery based on projection profiling
dc.typeJournal Article
dc.format.volume25
dc.format.pages507-518
dc.format.issue2
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