Abstract: It is still a problem how to detection whether digital images are fake or original. In this study, a new algorithm has been developed that uses the properties of the hyper geometric functions to detect fake images from the original image of Mona Lisa by accurately analyzing all the image pixels and expanding the algorithm area by providing an experimental compensation of the x and y values and then reconstructing the regions and components and matching it to the original image. Statistical support for digital counterfeit image detection. The database used consisted of 15 fake images and the original image and the algorithm proved its efficiency accurately in detecting the forgery.