TY - GEN
T1 - Using Artificial Intelligence Applications For E-Government Services As Iris Recognition
AU - Al Qudah, Mohammad Ali
AU - Muradkhanli, Leyla
AU - Muradkhanli, Zeynab
AU - Salameh, Anas A.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - E-government is defined as the effective integrated use of all information and communication technologies to facilitate the daily administrative operations of government sectors. The revolution in digital communication technologies has put more pressure on many public sector institutions to transform their operations into the world of electronic business. This is what is known as e-government. E-government is defined as the effective integrated use of all information and communication technologies. People are recognised by the use of their fingerprints, faces, hand geometries, and iris prints, among other biometric characteristics. This research intends to use iris recognition to identify people through the image of the iris and apply a programme using Python and the deep learning method of a convolutional neural network (CNN) to match the printed iris images of people, where the images match the images of people and show the name of the person who owns this photo. This research also intends to use the deep learning method to match the printed iris images of people. This is a contemporary system that aids in the identification of individuals and replaces e-government systems with smart systems that incorporate artificial intelligence into their operations to deliver the best services possible to residents. How much does the Jordanian government want to employ biometric characteristics, such as the iris of the eye, which is regarded as part of the biometric features, in all of the electronic government services.
AB - E-government is defined as the effective integrated use of all information and communication technologies to facilitate the daily administrative operations of government sectors. The revolution in digital communication technologies has put more pressure on many public sector institutions to transform their operations into the world of electronic business. This is what is known as e-government. E-government is defined as the effective integrated use of all information and communication technologies. People are recognised by the use of their fingerprints, faces, hand geometries, and iris prints, among other biometric characteristics. This research intends to use iris recognition to identify people through the image of the iris and apply a programme using Python and the deep learning method of a convolutional neural network (CNN) to match the printed iris images of people, where the images match the images of people and show the name of the person who owns this photo. This research also intends to use the deep learning method to match the printed iris images of people. This is a contemporary system that aids in the identification of individuals and replaces e-government systems with smart systems that incorporate artificial intelligence into their operations to deliver the best services possible to residents. How much does the Jordanian government want to employ biometric characteristics, such as the iris of the eye, which is regarded as part of the biometric features, in all of the electronic government services.
KW - biometric
KW - convolutional neural network
KW - deep learning
KW - e-government
KW - iris recognition
UR - http://www.scopus.com/inward/record.url?scp=85179505969&partnerID=8YFLogxK
U2 - 10.1109/AICT59525.2023.10313183
DO - 10.1109/AICT59525.2023.10313183
M3 - Conference contribution
AN - SCOPUS:85179505969
T3 - 17th IEEE International Conference on Application of Information and Communication Technologies, AICT 2023 - Proceedings
BT - 17th IEEE International Conference on Application of Information and Communication Technologies, AICT 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE International Conference on Application of Information and Communication Technologies, AICT 2023
Y2 - 18 October 2023 through 20 October 2023
ER -