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Automatic Number Plate Recognition Using Deep Learning Under Night time and Low-Illumination Conditions

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Bibliographic Details
Published in:VFAST Transactions on Software Engineering
Format: Online Article RSS Article
Published: 2026
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container_title VFAST Transactions on Software Engineering
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:12524
institution FRELIP
journal_source_facet VFAST Transactions on Software Engineering
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Automatic Number Plate Recognition Using Deep Learning Under Night time and Low-Illumination Conditions
Software
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Software
Technology & Engineering — Computing
Technology & Engineering
Software
Technology & Engineering — Computing
Technology & Engineering
subject_facet Software
Technology & Engineering — Computing
Technology & Engineering
title Automatic Number Plate Recognition Using Deep Learning Under Night time and Low-Illumination Conditions
title_auth Automatic Number Plate Recognition Using Deep Learning Under Night time and Low-Illumination Conditions
title_full Automatic Number Plate Recognition Using Deep Learning Under Night time and Low-Illumination Conditions
title_fullStr Automatic Number Plate Recognition Using Deep Learning Under Night time and Low-Illumination Conditions
title_full_unstemmed Automatic Number Plate Recognition Using Deep Learning Under Night time and Low-Illumination Conditions
title_short Automatic Number Plate Recognition Using Deep Learning Under Night time and Low-Illumination Conditions
title_sort automatic number plate recognition using deep learning under night time and low-illumination conditions
topic Software
Technology & Engineering — Computing
Technology & Engineering
url https://vfast.org/journals/index.php/VTSE/article/view/2303