{"id":"https://openalex.org/W4410779781","doi":"https://doi.org/10.1109/icrca64997.2025.11011059","title":"Research on the License Plate Recognition Method Based on Convolutional Neural Network","display_name":"Research on the License Plate Recognition Method Based on Convolutional Neural Network","publication_year":2025,"publication_date":"2025-03-07","ids":{"openalex":"https://openalex.org/W4410779781","doi":"https://doi.org/10.1109/icrca64997.2025.11011059"},"language":"en","primary_location":{"id":"doi:10.1109/icrca64997.2025.11011059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icrca64997.2025.11011059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on Robotics, Control and Automation (ICRCA)","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/A5100538099","display_name":"Xin Shi","orcid":"https://orcid.org/0009-0007-3510-2823"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xin Shi","raw_affiliation_strings":["Hebei Jiaotong Vocational and Technical College,Department of Road and Bridge Engineering,Shijiazhuang,China"],"affiliations":[{"raw_affiliation_string":"Hebei Jiaotong Vocational and Technical College,Department of Road and Bridge Engineering,Shijiazhuang,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100454052","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0002-0750-1030"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["Hebei Jiaotong Vocational and Technical College,Department of Road and Bridge Engineering,Shijiazhuang,China"],"affiliations":[{"raw_affiliation_string":"Hebei Jiaotong Vocational and Technical College,Department of Road and Bridge Engineering,Shijiazhuang,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087300333","display_name":"Chihang Zhao","orcid":"https://orcid.org/0000-0003-0315-4796"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chihang Zhao","raw_affiliation_strings":["Southeast University,Traffic Institute,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Southeast University,Traffic Institute,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010253967","display_name":"Shanguang Xue","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shanguang Xue","raw_affiliation_strings":["Hebei Provicial Communications Planning, Design And Research Institute Co., Ltd,Department of Road and Bridge,Shijiazhuang,China"],"affiliations":[{"raw_affiliation_string":"Hebei Provicial Communications Planning, Design And Research Institute Co., Ltd,Department of Road and Bridge,Shijiazhuang,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Guoming Shu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guoming Shu","raw_affiliation_strings":["Hebei Jiaotong Vocational and Technical College,Science and Technology Department,Shijiazhuang,China"],"affiliations":[{"raw_affiliation_string":"Hebei Jiaotong Vocational and Technical College,Science and Technology Department,Shijiazhuang,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087360383","display_name":"Liru Hua","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liru Hua","raw_affiliation_strings":["Southeast University,Traffic Institute,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Southeast University,Traffic Institute,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100538099"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15599812,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"339","last_page":"349"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9979000091552734,"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":0.9979000091552734,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/license","display_name":"License","score":0.8330141305923462},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7268377542495728},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.702183723449707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49102115631103516},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4345915913581848},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4052354097366333},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39665114879608154},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3258005976676941}],"concepts":[{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.8330141305923462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7268377542495728},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.702183723449707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49102115631103516},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4345915913581848},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4052354097366333},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39665114879608154},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3258005976676941},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icrca64997.2025.11011059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icrca64997.2025.11011059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on Robotics, Control and Automation (ICRCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2372360535","https://openalex.org/W2765763274","https://openalex.org/W2783152060","https://openalex.org/W2785672431"],"related_works":["https://openalex.org/W2606446052","https://openalex.org/W2036021480","https://openalex.org/W3195777957","https://openalex.org/W2382668227","https://openalex.org/W2348482143","https://openalex.org/W2024584030","https://openalex.org/W3104168426","https://openalex.org/W1603675680","https://openalex.org/W2343406053","https://openalex.org/W4312856422"],"abstract_inverted_index":{"A":[0,40],"method":[1,60,64,166],"based":[2,65,84],"on":[3,66,85,114,149],"convolutional":[4],"neural":[5],"network":[6],"for":[7,42],"license":[8,44,151,163],"plate":[9,45,152,164],"recognition":[10,25,47,127,136,153,165,176],"with":[11,132],"character":[12,46,135,160],"segmentation":[13,59,63,161],"mode":[14,162],"is":[15,53,69,129],"proposed,":[16],"which":[17,52,97,144],"aims":[18],"to":[19],"solve":[20],"the":[21,57,62,86,94,99,103,115,130,146,168],"problems":[22],"of":[23,75,106,138,170],"low":[24],"accuracy":[26,104,148,169],"and":[27,38,61,78,111,120,173],"long":[28],"response":[29],"time":[30,128,137],"caused":[31],"by":[32,55],"abnormal":[33,49],"weather":[34,50],"such":[35],"as":[36],"rain":[37],"snow.":[39],"dataset":[41],"highway":[43],"under":[48],"conditions,":[51],"constructed":[54],"analyzing":[56],"proportional":[58],"connected":[67],"domain,":[68],"optimized.":[70],"Finally,":[71],"a":[72,133],"large":[73],"number":[74],"model":[76],"training":[77,116],"comparison":[79],"experiments":[80],"are":[81],"carried":[82],"out":[83],"optimized":[87],"data":[88],"set.":[89],"The":[90,124,141],"results":[91],"show":[92],"that":[93,158],"ResNeXt-LPCR":[95,142],"model,":[96,143],"has":[98,102,145,174],"highest":[100,147],"accuracy,":[101],"rates":[105],"99.89":[107],"%,":[108,156],"98.13":[109],"%":[110,113],"97.74":[112],"set,":[117],"verification":[118],"set":[119,122],"test":[121],"respectively.":[123],"MNASNet-LPCR,":[125],"whose":[126],"least":[131],"single":[134],"0.0061":[139],"s.":[140],"complete":[150],"reaching":[154],"95.52":[155],"demonstrates":[157],"this":[159],"surpasses":[167],"similar":[171],"algorithms":[172],"significant":[175],"efficiency.":[177]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
