Enhanced Symbol Recognition Based on Data Augmentation in Engineering Drawings

Recognizing symbols has received research interest for image analytics of engineering diagrams recently to improve identification and retrieval of specific symbols. Convolutional Neural Network (CNN) have become a more popular approach for symbol recognition compared to structural, syntactic, and st...

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Main Author: ONG, KAI BIN
Format: Thesis
Language:English
Published: 2023
Subjects:
Online Access:http://utpedia.utp.edu.my/id/eprint/24858/1/Ong%20Kai%20Bin_19001721.pdf
http://utpedia.utp.edu.my/id/eprint/24858/
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spelling oai:utpedia.utp.edu.my:248582023-09-14T07:08:05Z http://utpedia.utp.edu.my/id/eprint/24858/ Enhanced Symbol Recognition Based on Data Augmentation in Engineering Drawings ONG, KAI BIN T Technology (General) Recognizing symbols has received research interest for image analytics of engineering diagrams recently to improve identification and retrieval of specific symbols. Convolutional Neural Network (CNN) have become a more popular approach for symbol recognition compared to structural, syntactic, and statistical techniques 2023-09 Thesis NonPeerReviewed text en http://utpedia.utp.edu.my/id/eprint/24858/1/Ong%20Kai%20Bin_19001721.pdf ONG, KAI BIN (2023) Enhanced Symbol Recognition Based on Data Augmentation in Engineering Drawings. Masters thesis, Universiti Teknologi PETRONAS.
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)
ONG, KAI BIN
Enhanced Symbol Recognition Based on Data Augmentation in Engineering Drawings
description Recognizing symbols has received research interest for image analytics of engineering diagrams recently to improve identification and retrieval of specific symbols. Convolutional Neural Network (CNN) have become a more popular approach for symbol recognition compared to structural, syntactic, and statistical techniques
format Thesis
author ONG, KAI BIN
author_facet ONG, KAI BIN
author_sort ONG, KAI BIN
title Enhanced Symbol Recognition Based on Data Augmentation in Engineering Drawings
title_short Enhanced Symbol Recognition Based on Data Augmentation in Engineering Drawings
title_full Enhanced Symbol Recognition Based on Data Augmentation in Engineering Drawings
title_fullStr Enhanced Symbol Recognition Based on Data Augmentation in Engineering Drawings
title_full_unstemmed Enhanced Symbol Recognition Based on Data Augmentation in Engineering Drawings
title_sort enhanced symbol recognition based on data augmentation in engineering drawings
publishDate 2023
url http://utpedia.utp.edu.my/id/eprint/24858/1/Ong%20Kai%20Bin_19001721.pdf
http://utpedia.utp.edu.my/id/eprint/24858/
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score 13.222552