A Novel Copy-Move Image Forgery Detection Method Using 8-Connected Region Growing Technique

Abstract

With the recent advancement of digital communication and Internet technology, there exist so many applications surrounded in our daily life where digital images play a vital role. Manipulation of digital images becomes a serious authentication threat in today’s world due to the availability of high-resolution cameras, powerful computer, and above all advanced image editing tools. Forgers are advancing themselves day by day with more sophisticated forgery techniques, so researchers must come up with more updated and advanced forgery detection techniques. Copy-move forgery or region duplication is a well-known image tampering technique where one part of an image is copied and pasted in another location of the same image in a way undetectable by human eye. A novel copy-move forgery detection technique is presented in this paper. The detection starts from a seed block and grows by finding match in an eight-connected region. Experimental results show that the proposed method has higher accuracy ratio and less performance time than the state-of-the-art techniques in the field of block-based image forgery detection.