ABSTRACT
The development of image processing and image editing software such as Adobe Photoshop®, and Photo Editor has caused created image forgery, and these images ultimately cause limitations in the information security system. This chapter presents a method that has a high accuracy in detecting forged areas, while reviewing the methods of copy-move forgery detection. Many methods are used for forgery detection in digital images, which, in general, can be divided into two active and passive methods. The format-based methods are another type of forgery detection method. The main task of these techniques is based on the Joint Photographic Experts Group image format. Digital images may be obtained from various imaging devices such as various cameras, scanners, and computer graphics imaging technology. Matching is the process of determining the correspondence between two or more features in images. The matching techniques for block-based methods can be divided into three categories: sorting, correlation, and Euclidean distance.
