Comparison between image forgery detection algorithms

Today, the manipulation on the digital images has become a very easy and professional process using the capabilities of photo editing tools with the wide and rapid development in information technology and computer industry. Image forgery can be used to hide or manipulate important information of official documents, which can be considered as a digital crime. Many algorithms can be used to detect forged images. This paper introduces a theatrical comparison between four of the recent forgery detection algorithms; SVM, DCT, Expanding Block-based algorithm and Generic Algorithm with the aim to come up with the most efficient algorithm among the four algorithms. This was achieved by reviewing literatures of recent and relevant works whereas we focused on the accuracy. The comparison shows that GA is the most effective algorithm for detecting the image forgery, which gives the highest accuracy while DCT has the lowest accuracy.