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Angular Radial Transform based Copy-Move Forgery Detection


Manpreet Kaur , Central University of Punjab; Dr. Amandeep Kaur, Central University of Punjab


CMF: Copy Move Forgery, ART: Angular Radial Transform


Digital images are most common and the convenient way of storing and transmitting the visual information. Copy move forgery is most common form local processing among other techniques. This paper proposes a dense field copy move detection technique based on Angular Radial Transform of small image blocks. We exploit rotation invariance properties to reliably unveil duplicated regions after arbitrary rotations. Experiments indicate high robustness against rotation JPEG compression, blurring, smooth and textured images.

Other Details

Paper ID: IJSRDV5I60043
Published in: Volume : 5, Issue : 6
Publication Date: 01/09/2017
Page(s): 182-186

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