Study on character recognition algorithm for end face of bundled special steel bars

In order to realize the traceability of the whole process of special steel bar production information,the production environment and shape characteristics of special steel bar were analyzed.The marking scheme based on double mark points was adopted,and the machine vision technology was used to reali...

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Autores principales:	Fuxiang ZHANG, Wang GUO, Yongjian HUANG, Chunmei WANG, Fengshan HUANG
Formato:	article
Lenguaje:	ZH
Publicado:	Hebei University of Science and Technology 2021
Materias:	computer image processing; special steel bar; information marking; image enhancement; character segmentation; character recognition Technology T
Acceso en línea:	https://doaj.org/article/8a71d3e03da54abd94e79e9f1c1b6342
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id	oai:doaj.org-article:8a71d3e03da54abd94e79e9f1c1b6342
record_format	dspace
spelling	oai:doaj.org-article:8a71d3e03da54abd94e79e9f1c1b63422021-11-23T07:09:07ZStudy on character recognition algorithm for end face of bundled special steel bars1008-154210.7535/hbkd.2021yx05005https://doaj.org/article/8a71d3e03da54abd94e79e9f1c1b63422021-10-01T00:00:00Zhttp://xuebao.hebust.edu.cn/hbkjdx/ch/reader/create_pdf.aspx?file_no=b202105005&flag=1&journal_https://doaj.org/toc/1008-1542In order to realize the traceability of the whole process of special steel bar production information,the production environment and shape characteristics of special steel bar were analyzed.The marking scheme based on double mark points was adopted,and the machine vision technology was used to realize the character recognition of the end face of the bundled special steel bars.First,Hough transform was used to segment the end face image of the bundle of special steel bars into single ones.Secondly,an image enhancement algorithm based on wavelet transform was used to enhance the end face image of a single special steel bar.Then,the MSER algorithm and the edge detection algorithm were combined to complete the detection of the character area of a single special steel bar,and the character segmentation was completed based on the projection method.Finally,the end face character recognition of each special steel bar was completed by creating and training an SVM classifier,and the end face character recognition results of the bundle of special steel bars were output and saved.The results show that the new algorithm can meet the requirements of character identification in the production process of bundles,and the accuracy of character recognition can reach [BF]97.35%[BFQ].With combination of the Hough transform,the wavelet transform image enhancement algorithm,MSER algorithm,edge detection algorithm,projection method,and SVM classifier and other algorithms to character identification of special steel bar end face,the new algorithm provides reference for information acquisition,information transfer and information traceability of special steel bar production.[HQ][HQ]Fuxiang ZHANGWang GUOYongjian HUANGChunmei WANGFengshan HUANGHebei University of Science and Technologyarticlecomputer image processing; special steel bar; information marking; image enhancement; character segmentation; character recognitionTechnologyTZHJournal of Hebei University of Science and Technology, Vol 42, Iss 5, Pp 470-480 (2021)
institution	DOAJ
collection	DOAJ
language	ZH
topic	computer image processing; special steel bar; information marking; image enhancement; character segmentation; character recognition Technology T
spellingShingle	computer image processing; special steel bar; information marking; image enhancement; character segmentation; character recognition Technology T Fuxiang ZHANG Wang GUO Yongjian HUANG Chunmei WANG Fengshan HUANG Study on character recognition algorithm for end face of bundled special steel bars
description	In order to realize the traceability of the whole process of special steel bar production information,the production environment and shape characteristics of special steel bar were analyzed.The marking scheme based on double mark points was adopted,and the machine vision technology was used to realize the character recognition of the end face of the bundled special steel bars.First,Hough transform was used to segment the end face image of the bundle of special steel bars into single ones.Secondly,an image enhancement algorithm based on wavelet transform was used to enhance the end face image of a single special steel bar.Then,the MSER algorithm and the edge detection algorithm were combined to complete the detection of the character area of a single special steel bar,and the character segmentation was completed based on the projection method.Finally,the end face character recognition of each special steel bar was completed by creating and training an SVM classifier,and the end face character recognition results of the bundle of special steel bars were output and saved.The results show that the new algorithm can meet the requirements of character identification in the production process of bundles,and the accuracy of character recognition can reach [BF]97.35%[BFQ].With combination of the Hough transform,the wavelet transform image enhancement algorithm,MSER algorithm,edge detection algorithm,projection method,and SVM classifier and other algorithms to character identification of special steel bar end face,the new algorithm provides reference for information acquisition,information transfer and information traceability of special steel bar production.[HQ][HQ]
format	article
author	Fuxiang ZHANG Wang GUO Yongjian HUANG Chunmei WANG Fengshan HUANG
author_facet	Fuxiang ZHANG Wang GUO Yongjian HUANG Chunmei WANG Fengshan HUANG
author_sort	Fuxiang ZHANG
title	Study on character recognition algorithm for end face of bundled special steel bars
title_short	Study on character recognition algorithm for end face of bundled special steel bars
title_full	Study on character recognition algorithm for end face of bundled special steel bars
title_fullStr	Study on character recognition algorithm for end face of bundled special steel bars
title_full_unstemmed	Study on character recognition algorithm for end face of bundled special steel bars
title_sort	study on character recognition algorithm for end face of bundled special steel bars
publisher	Hebei University of Science and Technology
publishDate	2021
url	https://doaj.org/article/8a71d3e03da54abd94e79e9f1c1b6342
work_keys_str_mv	AT fuxiangzhang studyoncharacterrecognitionalgorithmforendfaceofbundledspecialsteelbars AT wangguo studyoncharacterrecognitionalgorithmforendfaceofbundledspecialsteelbars AT yongjianhuang studyoncharacterrecognitionalgorithmforendfaceofbundledspecialsteelbars AT chunmeiwang studyoncharacterrecognitionalgorithmforendfaceofbundledspecialsteelbars AT fengshanhuang studyoncharacterrecognitionalgorithmforendfaceofbundledspecialsteelbars
_version_	1718416838966116352

Study on character recognition algorithm for end face of bundled special steel bars

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