Parallel and distributed computation of a fingerprint access control system / Bopatriciat Boluma Mangata ... [et al.]

This work evaluates the runtime performance of a single-mode biometric recognition system for fingerprint-based access control to secure premises. To speed up the computation time in this system, we resorted to parallel programming, targeting more loops in the verification module. Our approach would...

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Main Authors: Mangata, Bopatriciat Boluma, Muamba, Kadima, Khalaba, Fundji, Parfum, Bukanga Christian, Mbambi, Kisiaka
Format: Article
Language:English
Published: Universiti Teknologi MARA, Perlis 2022
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Online Access:https://ir.uitm.edu.my/id/eprint/68842/1/68842.pdf
https://ir.uitm.edu.my/id/eprint/68842/
https://crinn.conferencehunter.com/index.php/jcrinn
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Institution: Universiti Teknologi Mara
Language: English
id my.uitm.ir.68842
record_format eprints
spelling my.uitm.ir.688422023-03-24T06:41:10Z https://ir.uitm.edu.my/id/eprint/68842/ Parallel and distributed computation of a fingerprint access control system / Bopatriciat Boluma Mangata ... [et al.] jcrinn Mangata, Bopatriciat Boluma Muamba, Kadima Khalaba, Fundji Parfum, Bukanga Christian Mbambi, Kisiaka Programming. Rule-based programming. Backtrack programming Detectors. Sensors. Sensor networks This work evaluates the runtime performance of a single-mode biometric recognition system for fingerprint-based access control to secure premises. To speed up the computation time in this system, we resorted to parallel programming, targeting more loops in the verification module. Our approach would therefore be to parallelize all loops that are computationally intensive during the verification of fingerprints in the database. On this, we exploited Microsoft's Task Parallel Library, specifically exploiting the for and for each loop. On the test set performed in sequential and parallel versions in the different data sizes, namely 50, 100, 150, 200, 250, 300, 350, 400, 450, 500, 550, and 600, we can state that the results obtained by the sequential and parallel implementations of our performance test programs allowed us to determine the best approach. Therefore, it is very clear that the sequential program is too greedy in terms of computation time compared to the parallel program which minimizes the computation time. Universiti Teknologi MARA, Perlis 2022 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/68842/1/68842.pdf Parallel and distributed computation of a fingerprint access control system / Bopatriciat Boluma Mangata ... [et al.]. (2022) Journal of Computing Research and Innovation (JCRINN), 7 (2): 1. pp. 1-10. ISSN 2600-8793 https://crinn.conferencehunter.com/index.php/jcrinn 10.24191/jcrinn.v7i2.271 10.24191/jcrinn.v7i2.271 10.24191/jcrinn.v7i2.271
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Programming. Rule-based programming. Backtrack programming
Detectors. Sensors. Sensor networks
spellingShingle Programming. Rule-based programming. Backtrack programming
Detectors. Sensors. Sensor networks
Mangata, Bopatriciat Boluma
Muamba, Kadima
Khalaba, Fundji
Parfum, Bukanga Christian
Mbambi, Kisiaka
Parallel and distributed computation of a fingerprint access control system / Bopatriciat Boluma Mangata ... [et al.]
description This work evaluates the runtime performance of a single-mode biometric recognition system for fingerprint-based access control to secure premises. To speed up the computation time in this system, we resorted to parallel programming, targeting more loops in the verification module. Our approach would therefore be to parallelize all loops that are computationally intensive during the verification of fingerprints in the database. On this, we exploited Microsoft's Task Parallel Library, specifically exploiting the for and for each loop. On the test set performed in sequential and parallel versions in the different data sizes, namely 50, 100, 150, 200, 250, 300, 350, 400, 450, 500, 550, and 600, we can state that the results obtained by the sequential and parallel implementations of our performance test programs allowed us to determine the best approach. Therefore, it is very clear that the sequential program is too greedy in terms of computation time compared to the parallel program which minimizes the computation time.
format Article
author Mangata, Bopatriciat Boluma
Muamba, Kadima
Khalaba, Fundji
Parfum, Bukanga Christian
Mbambi, Kisiaka
author_facet Mangata, Bopatriciat Boluma
Muamba, Kadima
Khalaba, Fundji
Parfum, Bukanga Christian
Mbambi, Kisiaka
author_sort Mangata, Bopatriciat Boluma
title Parallel and distributed computation of a fingerprint access control system / Bopatriciat Boluma Mangata ... [et al.]
title_short Parallel and distributed computation of a fingerprint access control system / Bopatriciat Boluma Mangata ... [et al.]
title_full Parallel and distributed computation of a fingerprint access control system / Bopatriciat Boluma Mangata ... [et al.]
title_fullStr Parallel and distributed computation of a fingerprint access control system / Bopatriciat Boluma Mangata ... [et al.]
title_full_unstemmed Parallel and distributed computation of a fingerprint access control system / Bopatriciat Boluma Mangata ... [et al.]
title_sort parallel and distributed computation of a fingerprint access control system / bopatriciat boluma mangata ... [et al.]
publisher Universiti Teknologi MARA, Perlis
publishDate 2022
url https://ir.uitm.edu.my/id/eprint/68842/1/68842.pdf
https://ir.uitm.edu.my/id/eprint/68842/
https://crinn.conferencehunter.com/index.php/jcrinn
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