{"id":"https://openalex.org/W2585641723","doi":"https://doi.org/10.1109/icarcv.2016.7838653","title":"Automated license plate detection using a support vector machine","display_name":"Automated license plate detection using a support vector machine","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2585641723","doi":"https://doi.org/10.1109/icarcv.2016.7838653","mag":"2585641723"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2016.7838653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2016.7838653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 14th 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/A5112655950","display_name":"Shigeharu Miyata","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shigeharu Miyata","raw_affiliation_strings":["Dept. of Robotics, Kinki U., School of Engr., Hiroshima, Higashi-Hiroshima, JAPAN"],"affiliations":[{"raw_affiliation_string":"Dept. of Robotics, Kinki U., School of Engr., Hiroshima, Higashi-Hiroshima, JAPAN","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113802294","display_name":"Kenji Oka","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kenji Oka","raw_affiliation_strings":["Dept. of Robotics, Kinki U., School of Engr., Hiroshima, Higashi-Hiroshima, JAPAN"],"affiliations":[{"raw_affiliation_string":"Dept. of Robotics, Kinki U., School of Engr., Hiroshima, Higashi-Hiroshima, JAPAN","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112655950"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9644,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.8972052,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"2016","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":1.0,"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":1.0,"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/T11269","display_name":"Algorithms and Data Compression","score":0.980400025844574,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12546","display_name":"Smart Parking Systems Research","score":0.963100016117096,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.7734171748161316},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7662073373794556},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6268039345741272},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38007786870002747},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1800430417060852}],"concepts":[{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.7734171748161316},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7662073373794556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6268039345741272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38007786870002747},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1800430417060852}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icarcv.2016.7838653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2016.7838653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)","raw_type":"proceedings-article"},{"id":"mag:2753817103","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/20090422/201702251964974776","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W46577056","https://openalex.org/W1975399404","https://openalex.org/W2019707914","https://openalex.org/W2102608210","https://openalex.org/W2133434641","https://openalex.org/W2902813199"],"related_works":["https://openalex.org/W2748952813","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/W1603675680","https://openalex.org/W1983668675","https://openalex.org/W2343406053"],"abstract_inverted_index":{"This":[0,39,106],"paper":[1],"proposes":[2],"a":[3,89,93,159],"new":[4],"method":[5,27,154],"of":[6,12,32,100,142,152,164],"detecting":[7],"license":[8,16,33,40,53,94,102,111,116,137,160],"plates":[9,34,54],"in":[10,37,115,126,130],"images":[11,121],"vehicles":[13,36],"where":[14],"the":[15,22,46,51,59,98,101,110,133,140],"plate":[17,41,103,112,117,120,161],"is":[18,82,92,104],"shown,":[19],"and":[20,50,64,67,79,96,118,136,139,144],"reports":[21],"detection":[23,31,42,113,162],"results":[24,114],"when":[25],"this":[26,153],"was":[28,155],"applied":[29],"to":[30,84,157],"on":[35,77],"Japan.":[38],"process":[43],"detects":[44],"only":[45],"edge":[47],"vertical":[48],"components,":[49],"candidate":[52,90],"are":[55],"narrowed":[56],"down":[57],"using":[58],"contours":[60],"obtained":[61],"by":[62,124],"dilation":[63],"erosion":[65],"processing":[66],"region":[68],"fill":[69],"processing.":[70],"A":[71],"SVM":[72],"(Support":[73],"Vector":[74],"Machine)":[75],"based":[76],"negative":[78,145],"positive":[80,143],"examples":[81,146],"used":[83,147],"determine":[85],"whether":[86],"or":[87],"not":[88],"area":[91],"plate,":[95,138],"finally":[97],"position":[99],"identified.":[105],"study":[107],"examined":[108],"how":[109],"non-license":[119],"were":[122],"affected":[123],"differences":[125,129],"aspect":[127],"ratios,":[128],"brightness":[131],"between":[132],"vehicle":[134],"body":[135],"number":[141],"for":[148],"learning.":[149],"The":[150],"effectiveness":[151],"confirmed":[156],"yield":[158],"rate":[163],"approximately":[165],"90%.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
