{"id":"https://openalex.org/W2906958198","doi":"https://doi.org/10.1109/icarcv.2018.8581282","title":"Enhanced Character Segmentation for Multi-Language Data Plate in Substation Transformer Based on Connected Component Analysis","display_name":"Enhanced Character Segmentation for Multi-Language Data Plate in Substation Transformer Based on Connected Component Analysis","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2906958198","doi":"https://doi.org/10.1109/icarcv.2018.8581282","mag":"2906958198"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2018.8581282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2018.8581282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102357493","display_name":"Jieling Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jieling Zheng","raw_affiliation_strings":["College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055528381","display_name":"Xiren Miao","orcid":"https://orcid.org/0000-0003-2184-6403"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiren Miao","raw_affiliation_strings":["College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038450527","display_name":"Shih\u2010Hau Fang","orcid":"https://orcid.org/0000-0003-1580-0257"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shih-Hau Fang","raw_affiliation_strings":["Department of Electrical Engineering, MOST Joint Research Center for AI Technology and All Vista Healthcare, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, MOST Joint Research Center for AI Technology and All Vista Healthcare, Taiwan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100394829","display_name":"Jing Chen","orcid":"https://orcid.org/0000-0001-8305-9291"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Chen","raw_affiliation_strings":["College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039502751","display_name":"Hao Jiang","orcid":"https://orcid.org/0000-0002-6902-9245"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Jiang","raw_affiliation_strings":["College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2092,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61693778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"39","issue":null,"first_page":"180","last_page":"185"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7724143266677856},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.7678465843200684},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.723574697971344},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7082192301750183},{"id":"https://openalex.org/keywords/numeral-system","display_name":"Numeral system","score":0.6427338123321533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5988733768463135},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43270543217658997},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.41925153136253357},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3325076699256897},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.14201632142066956},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14185476303100586},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1027241051197052},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.07472270727157593}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7724143266677856},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.7678465843200684},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.723574697971344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7082192301750183},{"id":"https://openalex.org/C204160518","wikidata":"https://www.wikidata.org/wiki/Q122653","display_name":"Numeral system","level":2,"score":0.6427338123321533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5988733768463135},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43270543217658997},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.41925153136253357},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3325076699256897},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.14201632142066956},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14185476303100586},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1027241051197052},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.07472270727157593},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2018.8581282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2018.8581282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1631118977","https://openalex.org/W1963975344","https://openalex.org/W2019373290","https://openalex.org/W2046333072","https://openalex.org/W2069015072","https://openalex.org/W2086654776","https://openalex.org/W2133059825","https://openalex.org/W2362343268","https://openalex.org/W2374088400","https://openalex.org/W2375776144","https://openalex.org/W2557011417","https://openalex.org/W2602903088","https://openalex.org/W4214695428","https://openalex.org/W6636830432"],"related_works":["https://openalex.org/W2539042112","https://openalex.org/W587872652","https://openalex.org/W4234680390","https://openalex.org/W3202497208","https://openalex.org/W2378136823","https://openalex.org/W2376285871","https://openalex.org/W2389956414","https://openalex.org/W2379723120","https://openalex.org/W2025860571","https://openalex.org/W4313391810"],"abstract_inverted_index":{"Intelligent":[0],"inspection":[1],"in":[2,155,187],"the":[3,17,41,49,59,63,77,97,100,109,120,126,131,134,141,148,152,174,188],"substation":[4,156],"transformer":[5],"using":[6],"optical":[7],"character":[8,36,55,138,180],"recognizer":[9],"has":[10],"been":[11],"developing":[12],"rapidly.":[13],"Character":[14],"segmentation":[15,37,142,181],"from":[16,87,151],"text":[18,149],"line":[19],"of":[20,31,91,99,111,122],"data":[21,42,89,153,190],"plate":[22,43,90,154,191],"is":[23,38],"an":[24],"important":[25],"step":[26],"for":[27],"localization":[28],"and":[29,53,58,66,80,104,113,130,165,183],"recognition":[30],"electrical":[32],"equipment.":[33],"However,":[34],"on-site":[35],"challenging":[39],"if":[40],"contains":[44],"multiple":[45],"languages,":[46],"especially":[47],"when":[48],"width":[50,121],"between":[51,128],"Chinese":[52,81,137],"non-Chinese":[54],"differs":[56],"significantly":[57],"complex":[60,114],"environments":[61],"cause":[62],"light":[64],"reflection":[65],"fading.":[67],"This":[68],"paper":[69],"proposes":[70],"a":[71],"new":[72],"method,":[73],"based":[74],"on":[75],"analyzing":[76],"connected":[78],"component":[79],"character's":[82],"structure,":[83],"to":[84,107,139],"segment":[85],"characters":[86,129],"multi-language":[88,189],"substations.":[92],"The":[93,116],"proposed":[94,117,175],"method":[95,118,176],"uses":[96],"combination":[98],"HSV":[101],"color":[102],"space":[103],"multi-scale":[105],"MSRCP":[106],"reduce":[108],"effect":[110],"illumination":[112],"background.":[115],"utilized":[119],"each":[123],"kind":[124],"character,":[125],"interval":[127],"relationship":[132],"within":[133],"left-right":[135],"structure":[136],"improve":[140],"accuracy.":[143],"Experimental":[144],"results":[145],"show":[146,172],"that":[147,173],"lines":[150],"transformer,":[157],"including":[158],"Chinese,":[159],"English,":[160],"Roman":[161],"numerals,":[162],"Arabic":[163],"numerals":[164],"symbols,":[166],"can":[167],"be":[168],"segmented":[169],"correctly.":[170],"Results":[171],"outperforms":[177],"two":[178],"existing":[179],"methods":[182],"achieves":[184],"99.4%":[185],"precision":[186],"dataset.":[192]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
