Fingerprint Recognition System(FRS) for the Perak Loan/Scholarship System

Creating a biometric verification system in an energy and area constrained embedded environment is a challenging problem. This paper gives results for using triangulation process to improve performance ofminutiae matching. Triangulation process is the process of aligning the two fingerprints and...

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Main Author: Abdullah, JarmatuI Aliah
Format: Final Year Project
Language:English
Published: Universiti Teknologi Petronas 2006
Subjects:
Online Access:http://utpedia.utp.edu.my/6977/1/2006%20-%20Fingerprint%20Recognition%20System%28FRS%29%20for%20the%20Perak%20LoanScholarship%20System.pdf
http://utpedia.utp.edu.my/6977/
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spelling my-utp-utpedia.69772021-07-27T15:34:17Z http://utpedia.utp.edu.my/6977/ Fingerprint Recognition System(FRS) for the Perak Loan/Scholarship System Abdullah, JarmatuI Aliah ZA Information resources Creating a biometric verification system in an energy and area constrained embedded environment is a challenging problem. This paper gives results for using triangulation process to improve performance ofminutiae matching. Triangulation process is the process of aligning the two fingerprints and compares the fingerprint minutiae with minutiae in the database. Human has almost 50 minutiae in their fingerprints. The fingerprint recognition system (FRS) will test the fingerprint and allows the Perak Loan/Scholarship system tobe access when 13 minutiae match with the stored fingerprint data. However, as many data in the database, there are problems ofacquiring the data. The time taken to retrieve data may increase due to this large volume ofdata stored. In a real apphcation, the sensor, the acquisition system and the variation in performance ofthe system over time is very critical. Therefore the system improves the minutiae matching performance by achieving data retrieving in within 3 seconds. Aset of30 fingerprints from 10 individuals were used totest the system. As the result of the proposed approach, the author achieved 2.68 seconds of average fingerprint matching time and 80% ofcorrect fingerprint matching accuracy for FRS. Universiti Teknologi Petronas 2006-06 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/6977/1/2006%20-%20Fingerprint%20Recognition%20System%28FRS%29%20for%20the%20Perak%20LoanScholarship%20System.pdf Abdullah, JarmatuI Aliah (2006) Fingerprint Recognition System(FRS) for the Perak Loan/Scholarship System. Universiti Teknologi Petronas. (Unpublished)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic ZA Information resources
spellingShingle ZA Information resources
Abdullah, JarmatuI Aliah
Fingerprint Recognition System(FRS) for the Perak Loan/Scholarship System
description Creating a biometric verification system in an energy and area constrained embedded environment is a challenging problem. This paper gives results for using triangulation process to improve performance ofminutiae matching. Triangulation process is the process of aligning the two fingerprints and compares the fingerprint minutiae with minutiae in the database. Human has almost 50 minutiae in their fingerprints. The fingerprint recognition system (FRS) will test the fingerprint and allows the Perak Loan/Scholarship system tobe access when 13 minutiae match with the stored fingerprint data. However, as many data in the database, there are problems ofacquiring the data. The time taken to retrieve data may increase due to this large volume ofdata stored. In a real apphcation, the sensor, the acquisition system and the variation in performance ofthe system over time is very critical. Therefore the system improves the minutiae matching performance by achieving data retrieving in within 3 seconds. Aset of30 fingerprints from 10 individuals were used totest the system. As the result of the proposed approach, the author achieved 2.68 seconds of average fingerprint matching time and 80% ofcorrect fingerprint matching accuracy for FRS.
format Final Year Project
author Abdullah, JarmatuI Aliah
author_facet Abdullah, JarmatuI Aliah
author_sort Abdullah, JarmatuI Aliah
title Fingerprint Recognition System(FRS) for the Perak Loan/Scholarship System
title_short Fingerprint Recognition System(FRS) for the Perak Loan/Scholarship System
title_full Fingerprint Recognition System(FRS) for the Perak Loan/Scholarship System
title_fullStr Fingerprint Recognition System(FRS) for the Perak Loan/Scholarship System
title_full_unstemmed Fingerprint Recognition System(FRS) for the Perak Loan/Scholarship System
title_sort fingerprint recognition system(frs) for the perak loan/scholarship system
publisher Universiti Teknologi Petronas
publishDate 2006
url http://utpedia.utp.edu.my/6977/1/2006%20-%20Fingerprint%20Recognition%20System%28FRS%29%20for%20the%20Perak%20LoanScholarship%20System.pdf
http://utpedia.utp.edu.my/6977/
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score 13.159267