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Development for Application of Malaysia License Plate Recognition (MLPR) using Convolutional Neural Network (CNN).

Despite the increasing number of commercial and academic techniques for Automatic License Plate Recognition (ALPR), most existing methods are only region-specific (i.e., Europe, US, Brazil, Taiwan, or others) and lack value in the accuracy achieved. ALPR frequently explore datasets containing approx...

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Bibliographic Details
Main Author: Ibrahim, Muhamad Faiz
Format: Final Year Project
Language:English
Published: 2021
Subjects:
T Technology (General)
Online Access:http://utpedia.utp.edu.my/id/eprint/24096/1/Development%20for%20Application%20of%20Malaysia%20License%20Plate%20Recognition%20%28MLPR%29%20using%20Convolutional%20Neural%20Network%20%28CNN%29..pdf
http://utpedia.utp.edu.my/id/eprint/24096/
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id oai:utpedia.utp.edu.my:24096
record_format eprints
spelling oai:utpedia.utp.edu.my:240962023-03-15T03:22:12Z http://utpedia.utp.edu.my/id/eprint/24096/ Development for Application of Malaysia License Plate Recognition (MLPR) using Convolutional Neural Network (CNN). Ibrahim, Muhamad Faiz T Technology (General) Despite the increasing number of commercial and academic techniques for Automatic License Plate Recognition (ALPR), most existing methods are only region-specific (i.e., Europe, US, Brazil, Taiwan, or others) and lack value in the accuracy achieved. ALPR frequently explore datasets containing approximately frontal images (i.e., frontal images from a license plate). A comprehensive ALPR system that focuses on unrestrained capture scenarios where the number plate (NPs) may be significantly distorted to ensure it has a very robust force of accuracy. 2021-09 Final Year Project NonPeerReviewed text en http://utpedia.utp.edu.my/id/eprint/24096/1/Development%20for%20Application%20of%20Malaysia%20License%20Plate%20Recognition%20%28MLPR%29%20using%20Convolutional%20Neural%20Network%20%28CNN%29..pdf Ibrahim, Muhamad Faiz (2021) Development for Application of Malaysia License Plate Recognition (MLPR) using Convolutional Neural Network (CNN). [Final Year Project] (Submitted)
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 T Technology (General)
spellingShingle T Technology (General)
Ibrahim, Muhamad Faiz
Development for Application of Malaysia License Plate Recognition (MLPR) using Convolutional Neural Network (CNN).
description Despite the increasing number of commercial and academic techniques for Automatic License Plate Recognition (ALPR), most existing methods are only region-specific (i.e., Europe, US, Brazil, Taiwan, or others) and lack value in the accuracy achieved. ALPR frequently explore datasets containing approximately frontal images (i.e., frontal images from a license plate). A comprehensive ALPR system that focuses on unrestrained capture scenarios where the number plate (NPs) may be significantly distorted to ensure it has a very robust force of accuracy.
format Final Year Project
author Ibrahim, Muhamad Faiz
author_facet Ibrahim, Muhamad Faiz
author_sort Ibrahim, Muhamad Faiz
title Development for Application of Malaysia License Plate Recognition (MLPR) using Convolutional Neural Network (CNN).
title_short Development for Application of Malaysia License Plate Recognition (MLPR) using Convolutional Neural Network (CNN).
title_full Development for Application of Malaysia License Plate Recognition (MLPR) using Convolutional Neural Network (CNN).
title_fullStr Development for Application of Malaysia License Plate Recognition (MLPR) using Convolutional Neural Network (CNN).
title_full_unstemmed Development for Application of Malaysia License Plate Recognition (MLPR) using Convolutional Neural Network (CNN).
title_sort development for application of malaysia license plate recognition (mlpr) using convolutional neural network (cnn).
publishDate 2021
url http://utpedia.utp.edu.my/id/eprint/24096/1/Development%20for%20Application%20of%20Malaysia%20License%20Plate%20Recognition%20%28MLPR%29%20using%20Convolutional%20Neural%20Network%20%28CNN%29..pdf
http://utpedia.utp.edu.my/id/eprint/24096/
_version_ 1761620917291581440
score 13.214268

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