Least-squares method and deep learning in the identification and analysis of name-plates of power equipment

This article proposes a nameplate recognition method based on the least-squares method and deep learning algorithm character feature fusion. This method extracts the histogram of the edge direction of the character and constructs the histogram feature vector based on the wavelet transform deep learn...

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Main Authors: Zhong Yerong, Ruan Guoheng, Abozinadah Ehab, Jiang Jiaming
Format: Article
Language:English
Published: Sciendo 2021-12-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
Online Access:https://doi.org/10.2478/amns.2021.1.00055
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author Zhong Yerong
Ruan Guoheng
Abozinadah Ehab
Jiang Jiaming
author_facet Zhong Yerong
Ruan Guoheng
Abozinadah Ehab
Jiang Jiaming
author_sort Zhong Yerong
collection DOAJ
description This article proposes a nameplate recognition method based on the least-squares method and deep learning algorithm character feature fusion. This method extracts the histogram of the edge direction of the character and constructs the histogram feature vector based on the wavelet transform deep learning algorithm. We use classifier training for the text recognition of the nameplate to segment the text into individual characters. Then, we extract the character features to build a template. Experiments prove that the algorithm meets the practical application needs of nameplate identification of power equipment and achieves the design goals.
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spelling doaj.art-3667bee14ceb4b12824d66ff50d947022023-06-19T05:54:31ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562021-12-017110311210.2478/amns.2021.1.00055Least-squares method and deep learning in the identification and analysis of name-plates of power equipmentZhong Yerong0Ruan Guoheng1Abozinadah Ehab2Jiang Jiaming3Qingyuan Power Supply Bureau of Guangdong Power Grid Co., Ltd, Qingyuan, Guangdong, ChinaQingyuan Power Supply Bureau of Guangdong Power Grid Co., Ltd, Qingyuan, Guangdong, ChinaDepartment of Information System, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi ArabiaQingyuan Power Supply Bureau of Guangdong Power Grid Co., Ltd, Qingyuan, Guangdong, ChinaThis article proposes a nameplate recognition method based on the least-squares method and deep learning algorithm character feature fusion. This method extracts the histogram of the edge direction of the character and constructs the histogram feature vector based on the wavelet transform deep learning algorithm. We use classifier training for the text recognition of the nameplate to segment the text into individual characters. Then, we extract the character features to build a template. Experiments prove that the algorithm meets the practical application needs of nameplate identification of power equipment and achieves the design goals.https://doi.org/10.2478/amns.2021.1.00055deep learningleast-squares methodnameplate recognitionpower equipment92b20
spellingShingle Zhong Yerong
Ruan Guoheng
Abozinadah Ehab
Jiang Jiaming
Least-squares method and deep learning in the identification and analysis of name-plates of power equipment
Applied Mathematics and Nonlinear Sciences
deep learning
least-squares method
nameplate recognition
power equipment
92b20
title Least-squares method and deep learning in the identification and analysis of name-plates of power equipment
title_full Least-squares method and deep learning in the identification and analysis of name-plates of power equipment
title_fullStr Least-squares method and deep learning in the identification and analysis of name-plates of power equipment
title_full_unstemmed Least-squares method and deep learning in the identification and analysis of name-plates of power equipment
title_short Least-squares method and deep learning in the identification and analysis of name-plates of power equipment
title_sort least squares method and deep learning in the identification and analysis of name plates of power equipment
topic deep learning
least-squares method
nameplate recognition
power equipment
92b20
url https://doi.org/10.2478/amns.2021.1.00055
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AT ruanguoheng leastsquaresmethodanddeeplearningintheidentificationandanalysisofnameplatesofpowerequipment
AT abozinadahehab leastsquaresmethodanddeeplearningintheidentificationandanalysisofnameplatesofpowerequipment
AT jiangjiaming leastsquaresmethodanddeeplearningintheidentificationandanalysisofnameplatesofpowerequipment