TY  - JOUR
T1  - Using the Properties of the Hyper Geometric Functions for Mona
Lisa Original Image Detection
AU - Maki Kadham, Shaymaa AU - Rustum Mohammed, Hind AU - Abed Yasseen, Shaymaa AU - Saheb Abo Hamed, Hawraa 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 6
SP  - 1786
EP  - 1792
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.1786.1792
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.1786.1792
KW  - Finite symmetric
KW  -hyper geometric functions
KW  -orthogonally relation
KW  -transform linear
KW  -Mona Lisa
KW  -experimental compensation
AB  - 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.
ER  -