A Novel Approach for Detection of Copy-Move Forgery Detection using Transform Domain

The current methods in select-shift forgeries are built on segment matching. By taking advantage of present electrical instruments human logically blurs the boundaries of a picture. Thus, the current methods abort to detect the replicas in a pictures. To determine this issue a new path is developed to detect the select-shift using transform domain which is time invariant, to discover identical and non-identical, noise caused by the blurring the boundaries. Here we use SWT unlike discrete wavelet transform (DWT) and to withdrawal the elements using SVD. A concept of electric point fixing is introduced. An intensity based partition is used to achieve blur invariance with high detection accuracy.