Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Randa F. Soliman"'
Publikováno v:
Menoufia Journal of Electronic Engineering Research. 32:15-23
Autor:
Essam Abdellatef, Randa F. Soliman, Eman M. Omran, Nabil A. Ismail, Salah E. S. Abd Elrahman, Khalid N. Ismail, Mohamed Rihan, Mohamed Amin, Ayman A. Eisa, Fathi E. Abd El-Samie
Publikováno v:
Optical and Quantum Electronics. 54
Autor:
Nabil A. Ismail, El-Sayed M. El-Rabaie, Randa F. Soliman, Sameh A. Napoleon, Ayman A. Eisa, Mustafa M. AbdeElnaby, Maryam Mostafa Salah, Fathi Abd El-Samie, Eman M. Omran
Publikováno v:
Menoufia Journal of Electronic Engineering Research. 29:64-69
Iris recognition is one of the Biometric systems used for persons identification based on their special iris traits, which are unique featuresfor each individual. It is clear that the progress in deep learning show how efficient the extracted feature
Autor:
Khalid N. Ismail, Salah Eldin S. E. Abd Elrahman, Fathi E. Abd El-Samie, Mohamed Rihan, Eman M. Omran, Ayman A. Eisa, Essam Abdellatef, Randa F. Soliman, Nabil A. Ismail
Publikováno v:
Soft Computing. 24:15189-15208
The recent years have witnessed a dramatic shift in the way of biometric identification, authentication, and security processes. Among the essential challenges that face these processes are the online verification and authentication. These challenges
Publikováno v:
Menoufia Journal of Electronic Engineering Research. 28:95-101
Iris recognition is one of the automated processes of verifying individuals’ identity based on their iris characteristics. Apparently, the random nature of the iris texture, which is unique for each individual, makes it an exclusive trait for biome
Publikováno v:
Multimedia Tools and Applications. 79:2521-2541
This paper presents a novel scheme for cancelable iris recognition based on comb filtering. This scheme begins with a coarse-to-fine iris localization stage. After that, Gabor filtering is applied for feature extraction. The two-dimensional phase pat
Autor:
Said E. El-Khamy, Randa F. Soliman, Fathi E. Abd El-Samie, HossamEl-din H. Ahmed, Noha Ramadan, Mohamed Amin
Publikováno v:
Proceedings of the National Academy of Sciences, India Section A: Physical Sciences. 90:101-107
This paper presents a chaos-based cancelable biometric scheme for iris recognition. Instead of using original iris features, a masked version of the features is generated through chaotic map encryption for increasing the iris recognition system priva
Publikováno v:
Annals of Data Science. 6:223-236
This paper presents a random projection scheme for cancelable iris recognition. Instead of using original iris features, masked versions of the features are generated through the random projection in order to increase the security of the iris recogni
Autor:
Fathi E. Abd El-Samie, Naglaa F. Soliman, Mohamed Amin, Abeer D. Algarni, Ghada M. El Banby, Mohamed Elsheikh, Randa F. Soliman
Publikováno v:
Applied optics. 57(35)
Most modern security systems depend on biometrics. Unfortunately, these systems have suffered from hacking trials. If the biometric databases have been hacked and stolen, the biometrics saved in these databases will be lost forever. Thus, there is a
Autor:
Rana M. Nassar, Abdelnaser A. Mohamed, Fathi E. Abd El-Samie, El-Sayed M. El-Rabaie, Mohamed A. Safan, Walid El-Shafai, Ghada M. El Banby, Noha Ramadan, HossamEl-din H. Ahmed, Osama Zahran, Said E. El-Khamy, Ashraf A. M. Khalaf, Mohamed A. Abdelhamed, Ibrahim M. Eldokany, Randa F. Soliman
Publikováno v:
Applied Optics. 60:3659
This paper presents a new trend in biometric security systems, which is cancelable multi-biometrics. In general, traditional biometric systems depend on a single biometric for identification. These traditional systems are subject to different types o