• Kavita
• Ms. Preeti

This work presents a proposed scheme for image forgery based on image segmentation. Although the CMF regions are detected mainly by comparing the key points extracted in the image, it cannot simply classify the proposed scheme as a key point-based one. It can be seen as a combination of both existing schemes because in the two stages of matching process both key points and pixel features are employed. The proposed method computes automatic thresholding and will reduce the false positive and decreases the required time to estimate one threshold for different images in the dataset. The results show that proposed system shows better improvement in results as compared to other methods. In this work, the significant execution parameter is normal accuracy esteem that demonstrates the proportion of no. of significant recovered pictures to the aggregate recovered pictures. Higher its precision & recall performance, better the framework execution.

CMFD system, Image Forgery, Feature Extraction etc.

"Feature Extraction with Copy Move Forgery by Fuzzy Based Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 10, page no.1598-1603, October-2020, Available :http://www.jetir.org/papers/JETIR2010208.pdf

"Feature Extraction with Copy Move Forgery by Fuzzy Based Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 10, page no. pp1598-1603, October-2020, Available at : http://www.jetir.org/papers/JETIR2010208.pdf