Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Rasha Thabit"'
Publikováno v:
Al-Iraqia Journal for Scientific Engineering Research, Vol 3, Iss 3 (2024)
The rapid advancement of face image manipulation (FIM) algorithms and the proliferation of their user-friendly applications underscore an urgent need for manipulation detection techniques. These methods should be capable of revealing modifications in
Externí odkaz:
https://doaj.org/article/6694fb85ade347d4a4e558e53b1224e1
Autor:
Rasha Thabit
Publikováno v:
IET Image Processing, Vol 17, Iss 14, Pp 3938-3958 (2023)
Abstract Face image manipulation detection (FIMD) is a research area of great interest, widely applicable in fields requiring data security and authentication. Existing FIMD schemes aim to identify manipulations in digital face images, but they posse
Externí odkaz:
https://doaj.org/article/88152f5ff9f540e69032f7c51113adb6
Autor:
Rasha Thabit, Saad M. Shukr
Publikováno v:
JOIV: International Journal on Informatics Visualization, Vol 6, Iss 4, Pp 743-748 (2022)
Providing security while storing or sharing iris images has been considered as an interesting research topic and accordingly different iris image watermarking techniques have been presented. Most of the available techniques have been presented to ens
Externí odkaz:
https://doaj.org/article/02259b93ce7e49d387f0bfda1c2fc7d6
Publikováno v:
Al-Iraqia Journal for Scientific Engineering Research, Vol 2, Iss 2 (2023)
Nowadays, image manipulation algorithms are increasingly being used even by people who do not have any deep knowledge of technology, and one can easily find an application to manipulate face image for various purposes. After the development of image
Externí odkaz:
https://doaj.org/article/a94afcd0cce14e138b27d1c4576db0c1
Publikováno v:
Journal of Engineering, Vol 16, Iss 01 (2010)
Automatic detection and classification of cardiac arrhythmias is important for diagnosis of cardiac abnormality. This paper shows a method to accurately classify ECG arrhythmias through a combination of slantlet transform and artificial neural networ
Externí odkaz:
https://doaj.org/article/de23bfc8937e40c6a299524cc7a04bc4
Publikováno v:
2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET).
Autor:
Rasha Thabit
Publikováno v:
Multimedia Tools and Applications. 80:13439-13473
There is always a need for an updated systematic review of a special subject area because of its importance for the researchers and the interested audience. This paper presents a review of medical image authentication (MIA) which is an interesting ap
Publikováno v:
International Journal of Computer Networks and Communications Security. 8:46-51
Nowadays, many biometric based security systems depend on the iris images for authentication because of their features and ease of use. However, storing and sharing these sensitive images through open access networks will expose them to tampering. In
Autor:
Mohammed M. Alkhabet, Saad H. Girei, Husam K. Salih, Rasha Thabit, Mohammed Abdullah Issa, Suriati Paiman, Norhana Arsad, Mohammed Thamer Alresheedi, Mohd A Mahdi, Mohd H Yaacob
Publikováno v:
Materials Science and Engineering: B. 287:116092
Autor:
Rasha Thabit
Publikováno v:
Periodica Polytechnica Electrical Engineering and Computer Science. 63:263-273
Iris-based security systems are highly recommended because of their security and ease of use. Different watermarking techniques have been presented to provide security while exchanging or storing iris images. The previous iris image watermarking tech