An Application of Biometric Security Identification for Automated Teller Machine

This project is respectively about implementing an Automated Teller Machine (ATM) by using multimodal biometric identification system, which focuses to retina and fingerprint biometric identification. Instead of using an identification number (PINs) in accessing the ATM transaction performance, biom...

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Main Authors: Zulkifli, Izyan Fatin Dalila, Fuad, N., Marwan, M.E.
Format: Article
Language:English
Published: Open Access Online Journals 2020
Subjects:
Online Access:http://eprints.uthm.edu.my/6590/1/AJ%202020%20%28387%29.pdf
http://eprints.uthm.edu.my/6590/
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spelling my.uthm.eprints.65902022-03-03T06:36:17Z http://eprints.uthm.edu.my/6590/ An Application of Biometric Security Identification for Automated Teller Machine Zulkifli, Izyan Fatin Dalila Fuad, N. Marwan, M.E. T Technology (General) T173.2-174.5 Technological change This project is respectively about implementing an Automated Teller Machine (ATM) by using multimodal biometric identification system, which focuses to retina and fingerprint biometric identification. Instead of using an identification number (PINs) in accessing the ATM transaction performance, biometric identification system had been chosen for safety purpose. In developing this technology, Visual Basic software had been used for a combination of GUI system and implementation of Image Processing system purposes. Personal computer with several software for identification purposes, webcam and fingerprint scanner had been used. Successful identification will allow user to access the ATM transaction performances Open Access Online Journals 2020 Article PeerReviewed text en http://eprints.uthm.edu.my/6590/1/AJ%202020%20%28387%29.pdf Zulkifli, Izyan Fatin Dalila and Fuad, N. and Marwan, M.E. (2020) An Application of Biometric Security Identification for Automated Teller Machine. International Journal of Advanced Computer Systems and Software Engineering, 1 (1). pp. 6-11. ISSN 2716-5256
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic T Technology (General)
T173.2-174.5 Technological change
spellingShingle T Technology (General)
T173.2-174.5 Technological change
Zulkifli, Izyan Fatin Dalila
Fuad, N.
Marwan, M.E.
An Application of Biometric Security Identification for Automated Teller Machine
description This project is respectively about implementing an Automated Teller Machine (ATM) by using multimodal biometric identification system, which focuses to retina and fingerprint biometric identification. Instead of using an identification number (PINs) in accessing the ATM transaction performance, biometric identification system had been chosen for safety purpose. In developing this technology, Visual Basic software had been used for a combination of GUI system and implementation of Image Processing system purposes. Personal computer with several software for identification purposes, webcam and fingerprint scanner had been used. Successful identification will allow user to access the ATM transaction performances
format Article
author Zulkifli, Izyan Fatin Dalila
Fuad, N.
Marwan, M.E.
author_facet Zulkifli, Izyan Fatin Dalila
Fuad, N.
Marwan, M.E.
author_sort Zulkifli, Izyan Fatin Dalila
title An Application of Biometric Security Identification for Automated Teller Machine
title_short An Application of Biometric Security Identification for Automated Teller Machine
title_full An Application of Biometric Security Identification for Automated Teller Machine
title_fullStr An Application of Biometric Security Identification for Automated Teller Machine
title_full_unstemmed An Application of Biometric Security Identification for Automated Teller Machine
title_sort application of biometric security identification for automated teller machine
publisher Open Access Online Journals
publishDate 2020
url http://eprints.uthm.edu.my/6590/1/AJ%202020%20%28387%29.pdf
http://eprints.uthm.edu.my/6590/
_version_ 1738581510032719872
score 13.18916