Abstract: Copy-move tampering is one of the most simple and commonly used digital image forging methods.A part of image itself is copied and pasted on another part of the same image.Digital image tampering authentication has important theoretical significance and application value.This paper presents a new approach to copy-move forgery detection where fractional Fourier transform (FRFT) is used.First,the 1-level discrete wavelet transform (DWT) is used for the image to reduce the image dimension.The low-frequency of the sub-band is divided into the same size,overlapped sub-block.Then FRFT is applied for each block to calculate the vector of the coefficients.Finally,the difference of adjacent feature vectors is evaluated and employed to locate the copy-move duplicated regions.Experimental results show that the proposed method in this paper is effective in detection of the digital image copy-move forgery regions.