With the advancement of image processing editing tools and software, the tempering of the image has become easy. There are various ways for manipulating the image but one of the most common manipulating practices is copy move forgery in which the part of the image is copied and pasted in the same image at another place. There are various techniques for detecting image forgeries; they are commonly referred as Copy Move Forgery Detection (CMFD). In this paper we have reviewed various techniques for forgery detection and algorithm used for detecting the features and matching the detected features. We have also studied the advantages and drawbacks as well of the various algorithms used in different steps of forgery detection. Keywords: Copy move forgery detection(CMFD), scale invariant feature transform(SIFT), discrete cosine transform(DCT), discrete wavelet transform(DWT), stationary wavelet transform(SWT).
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