Using Artificial Intelligence Applications For E-Government Services As Iris Recognition

Mohammad Ali Al Qudah, Leyla Muradkhanli, Zeynab Muradkhanli, Anas A. Salameh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication17th IEEE International Conference on Application of Information and Communication Technologies, AICT 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350303568
DOIs
StatePublished - 2023
Event17th IEEE International Conference on Application of Information and Communication Technologies, AICT 2023 - Baku, Azerbaijan
Duration: 18 Oct 202320 Oct 2023

Publication series

Name17th IEEE International Conference on Application of Information and Communication Technologies, AICT 2023 - Proceedings

Conference

Conference17th IEEE International Conference on Application of Information and Communication Technologies, AICT 2023
Country/TerritoryAzerbaijan
CityBaku
Period18/10/2320/10/23

Keywords

  • biometric
  • convolutional neural network
  • deep learning
  • e-government
  • iris recognition

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