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Paper Details
Paper Title
Analysis of Copy-Move Forgery Detection in Digital Image
Authors
  Jyoti A. Yadav,  Prof.Nilima dongre
Abstract
In today's time because of less-cost and more-resolution digital cameras, there is ample amount of digital images across globe. Digital images have a crucial presence in specific domains like in insurance process, forensic lab work, monitoring systems, services of intelligence, medical imaging and journalism. The most needed requirement is the images we see should be authentic. With the availability of effective image processing software’s like Adobe Photoshop the possibility is very high to modify an artificial picture. Copy-move forgery is a very regular category of the digital fraud. There are basically two techniques for identifying copy-move fraud which are Block based method and Key point based methods. Here for the report, I have reviewed different copy-move forgery detection technique and its advantages over other methods of detection technique.
Keywords- Key point based, Block based, Copy move, forgery, fraud.
Publication Details
Unique Identification Number - IJEDR1701116Page Number(s) - 732-736Pubished in - Volume 5 | Issue 1 | March 2017DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Jyoti A. Yadav,  Prof.Nilima dongre,   "Analysis of Copy-Move Forgery Detection in Digital Image ", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 1, pp.732-736, March 2017, Available at :http://www.ijedr.org/papers/IJEDR1701116.pdf
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