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/
http://eprints.uthm.edu.my/6590/1/AJ%202020%20%28387%29.pdf
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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
building UTHM Institutional Repository
collection Online Access
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
first_indexed 2025-11-15T20:16:52Z
format Article
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institution Universiti Tun Hussein Onn Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T20:16:52Z
publishDate 2020
publisher Open Access Online Journals
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spelling uthm-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
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
title 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_short An Application of Biometric Security Identification for Automated Teller Machine
title_sort application of biometric security identification for automated teller machine
topic T Technology (General)
T173.2-174.5 Technological change
url http://eprints.uthm.edu.my/6590/
http://eprints.uthm.edu.my/6590/1/AJ%202020%20%28387%29.pdf