A secure and authenticating E-voting system using multiple biometrics
Joint Authors
Zahir, Fatimah Ujayl
Kuban, Kazim Hasan
Source
Journal of College of Education for Pure Sciences
Issue
Vol. 10, Issue 1 (31 Mar. 2020), pp.253-261, 9 p.
Publisher
University of Thi-Qar College of Education for Pure Sciences
Publication Date
2020-03-31
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
This study suggested design and implementation biometric-based electoral system for Iraqi state institutions and its political system.
The proposed system employs automated methods of identifying and authenticating the identity of a voter based on his/her face image and fingerprints.
Using face and fingerprint, ease of acquisition and high matching accuracy made them suitable for biometric application.
The system consists of two phases: the voter registration phase and the verification phase that is activated on the Election Day.
Voters interacting with the system through graphical user interface, which gathers their data in different databases to reflect their functions.
Flexible and user-centric design methodologies have been adopted.
The system was designed using Python programming language, MySQL database server and Apache web server in addition to some other descriptive languages as PHP.
The implementation of this system shows that the integrity of the Iraqi Electoral Process can be greatly enhanced in the state instead of the previous election system
American Psychological Association (APA)
Kuban, Kazim Hasan& Zahir, Fatimah Ujayl. 2020. A secure and authenticating E-voting system using multiple biometrics. Journal of College of Education for Pure Sciences،Vol. 10, no. 1, pp.253-261.
https://search.emarefa.net/detail/BIM-1384354
Modern Language Association (MLA)
Kuban, Kazim Hasan& Zahir, Fatimah Ujayl. A secure and authenticating E-voting system using multiple biometrics. Journal of College of Education for Pure Sciences Vol. 10, no. 1 (Mar. 2020), pp.253-261.
https://search.emarefa.net/detail/BIM-1384354
American Medical Association (AMA)
Kuban, Kazim Hasan& Zahir, Fatimah Ujayl. A secure and authenticating E-voting system using multiple biometrics. Journal of College of Education for Pure Sciences. 2020. Vol. 10, no. 1, pp.253-261.
https://search.emarefa.net/detail/BIM-1384354
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 260-261
Record ID
BIM-1384354