In this digital era, lot of information are expressed through images. Various social networking websites, such as Facebook, Twitter, MySpace etc. provides a platform for the users to post up almost any type of picture or photo. However, with the advancement in image editing technologies, many users have become victims of digital forgery as their uploaded images were forged for malicious activities. We have come up with a system which detects image forgery based on edge width analysis and center of gravity concepts. An algorithm based on edge detection is also used to identify the fuzzy edges in the forged digital image. The forged object in the image is highlighted by applying Flood fill algorithm. Different types of image forgeries like Image splicing, Copy-Move image forgery etc. can be detected. This method also reveals multiple forgeries in the same image. The proposed system is capable of detecting digital image forgeries in various image formats efficiently. The results we obtained after the analysis of different images shows that the proposed system is 95% efficient.
H. P, Lekha S. Nair, S.M, A., Unni, R., H, V. Priya, and Prabaharan Poornachandran, “Digital Image Forgery Detection on Artificially Blurred Images”, in International Conference on Emerging Trends in Communication, Control, Signal Processing & Computing Applications (C2SPCA), 2013 , Bangalore, India, 2013.