Copy-Move Forgery Detection Utilizing Local Binary Patterns
نویسنده
چکیده
Digital images are extensively utilized as communication medium. Forgeries in digital images have grown to be an astringent concern with the availability of powerful image processing tools. Among various image forgery approaches, copy-move forgery is the commonly used technique in which a component of the image is facsimiled and pasted in order to hide extraneous portion of the image. Square block matching technique is utilized to detect this kind of forgery. In this paper, firstly input image is divided into overlapping chunks. Features of the small blocks are extracted by making use of Local binary pattern texture method. Further blocks are lexicographically sorted and lastly duplicated blocks are identified utilizing the similarity criterion and Euclidean distance threshold.
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