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Toward online education for fingerprint recognition: A proof-of-concept web platform
Luleå University of Technology.
luleå tekniska universitet.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
2017 (English)In: Information Security Journal, ISSN 1939-3555, E-ISSN 1939-3547Article in journal (Refereed) Epub ahead of print
Abstract [en]

Recent advances in information and communication technology (ICT) have pushed education systems into the online paradigm. Although fingerprint recognition has received considerable attention from researchers, the concept of creating online or distance education systems for fingerprint recognition systems is a valid problem that requires further investigation. This article addresses the problem and presents a web platform for online education of a fingerprint recognition system. This study focused on the technical design and implementation of the web platform solely as a proof of concept to illustrate the possibility of creating distance education for fingerprint recognition. The developed platform offers students a way to gain knowledge about the full range of fingerprint recognition system technology. The significance of using a web platform stems from the need to supplement students’ theoretical knowledge with practical hands-on experience with information security in general and with fingerprint recognition in particular. Demonstrations such as fingerprint image enhancement and fingerprint feature extraction are included in the current platform prototype. Plots of fingerprint recognition performance curves such as false match rate (FMR) and false non-match rate (FNMR) as functions of the matching threshold curve, the receiver operating characteristic (ROC) curve, and the detection error trade-off (DET) curve are plotted as part of the platform. From a technical viewpoint, the platform was successfully implemented; however, its educational impact needs further evaluation.

Place, publisher, year, edition, pages
Taylor & Francis, 2017.
National Category
Information Systems, Social aspects
Research subject
Information systems
Identifiers
URN: urn:nbn:se:ltu:diva-64279DOI: 10.1080/19393555.2017.1329462OAI: oai:DiVA.org:ltu-64279DiVA: diva2:1112715
Available from: 2017-06-20 Created: 2017-06-20 Last updated: 2017-07-11

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Okoh, EbenezerAwad, Ali Ismail
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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf