• Gurpreet Kaur
• Dr. R.K. Bathla

One of the most common method of digital image forgery is copy move forgery.It means to embed a duplicacy. In other words, copy move forgery is that where some image location is copied and pasted to different location of the same image.To hide the forgery,post processing is applied.In this paper,an effective method for copy move foegery is proposed.For this, block based feature extraction and matching process is used. At first edge detection is carried out to get the high entropy pixels in the image so that matching process is carried out only for high entropy pixel blocks. Then feature extraction is carried out by converting image into overlapped blocks and mean and DCT features are extracted. Then mean values are put into a matrix and corresponding blocks are noted. Then mean value matrix is sorted in order to match the blocks with similar mean values. In matching process, variance of DCT features is used for similarity measure and forgery detection. Experimental results show that proposed method has high accuracy of forgery detection along with least computation time.

Copy Move Forgery, Block Based Forgery Detection, Mean, Variance, DCT etc.

"DETECTION OF COPY MOVE FORGERY IN DIGITAL IMAGES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 2, page no.1289-1294, February-2020, Available :http://www.jetir.org/papers/JETIR2002186.pdf

"DETECTION OF COPY MOVE FORGERY IN DIGITAL IMAGES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 2, page no. pp1289-1294, February-2020, Available at : http://www.jetir.org/papers/JETIR2002186.pdf