Journal of Engineering and Applied Sciences

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Using the Properties of the Hyper Geometric Functions for Mona Lisa Original Image Detection

Shaymaa Maki Kadham, Hind Rustum Mohammed, Shaymaa Abed Yasseen and Hawraa Saheb Abo Hamed
Page: 1786-1792 | Received 21 Sep 2022, Published online: 21 Sep 2022

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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.

How to cite this article:

Shaymaa Maki Kadham, Hind Rustum Mohammed, Shaymaa Abed Yasseen and Hawraa Saheb Abo Hamed. Using the Properties of the Hyper Geometric Functions for Mona Lisa Original Image Detection.
DOI: https://doi.org/10.36478/jeasci.2019.1786.1792
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2019.1786.1792