{"id":"https://openalex.org/W1969102601","doi":"https://doi.org/10.1142/s0218001413500250","title":"ENHANCING THE ACCURACY OF LICENSE PLATE RECOGNITION SYSTEMS WITH THE ANGLE RECOVERY METHOD","display_name":"ENHANCING THE ACCURACY OF LICENSE PLATE RECOGNITION SYSTEMS WITH THE ANGLE RECOVERY METHOD","publication_year":2013,"publication_date":"2013-10-03","ids":{"openalex":"https://openalex.org/W1969102601","doi":"https://doi.org/10.1142/s0218001413500250","mag":"1969102601"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001413500250","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001413500250","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5004022585","display_name":"Wernhuar Tarng","orcid":"https://orcid.org/0000-0002-6657-5566"},"institutions":[{"id":"https://openalex.org/I4210154699","display_name":"National Hsinchu University of Education","ror":"https://ror.org/05prep819","country_code":"TW","type":"education","lineage":["https://openalex.org/I4210154699"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"WERNHUAR TARNG","raw_affiliation_strings":["Graduate Institute of Computer Science, National Hsinchu University of Education, 521 Nanda Rd., Hsinchu 300, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Computer Science, National Hsinchu University of Education, 521 Nanda Rd., Hsinchu 300, Taiwan, R.O.C","institution_ids":["https://openalex.org/I4210154699"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017353680","display_name":"Chien-Lung Li","orcid":"https://orcid.org/0009-0001-7566-6750"},"institutions":[{"id":"https://openalex.org/I4210154699","display_name":"National Hsinchu University of Education","ror":"https://ror.org/05prep819","country_code":"TW","type":"education","lineage":["https://openalex.org/I4210154699"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"CHIEN-LUNG LI","raw_affiliation_strings":["Graduate Institute of Computer Science, National Hsinchu University of Education, 521 Nanda Rd., Hsinchu 300, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Computer Science, National Hsinchu University of Education, 521 Nanda Rd., Hsinchu 300, Taiwan, R.O.C","institution_ids":["https://openalex.org/I4210154699"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210154699"],"apc_list":null,"apc_paid":null,"fwci":0.4817,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68018659,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"27","issue":"08","first_page":"1350025","last_page":"1350025"},"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9923999905586243,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.975600004196167,"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/license","display_name":"License","score":0.8663676977157593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6677181720733643},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.64774489402771},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6454178690910339},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.5734918117523193},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5207328796386719},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.4182155728340149},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.06788945198059082}],"concepts":[{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.8663676977157593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6677181720733643},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.64774489402771},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6454178690910339},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5734918117523193},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5207328796386719},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.4182155728340149},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.06788945198059082},{"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:10.1142/s0218001413500250","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001413500250","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/W110542977","https://openalex.org/W1575616852","https://openalex.org/W2123725958","https://openalex.org/W2135449683"],"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/W2137048368","https://openalex.org/W3104168426","https://openalex.org/W1603675680","https://openalex.org/W1983668675"],"abstract_inverted_index":{"The":[0,102],"motor":[1,30,48],"vehicle":[2],"is":[3,16,91,179,196],"an":[4],"important":[5],"way":[6],"of":[7,29,35,46,133,139,153,162,166,185,202],"transportation":[8],"for":[9,26,39,84,123,198],"modern":[10],"people,":[11],"and":[12,69],"its":[13,120],"license":[14,40,51,85,114,124,203],"plate":[15,52,86,115,125,204],"just":[17],"like":[18],"our":[19],"identification":[20],"cards":[21],"which":[22],"can":[23,42,118,141],"be":[24,73,142],"used":[25],"effective":[27,197],"management":[28],"vehicles.":[31,49],"Hence,":[32],"the":[33,44,65,99,108,131,145,154,160,169,175,186,192,200],"development":[34],"a":[36,81,113,136,163],"recognition":[37,53,61,100,116,137,171,205],"system":[38,54,117],"plates":[41],"reduce":[43,119],"workload":[45],"managing":[47],"A":[50],"based":[55,93],"on":[56,94],"computer":[57],"vision":[58],"often":[59],"causes":[60],"errors":[62],"due":[63],"to":[64,72,97,112],"plate's":[66],"angle":[67,109,146,176,193],"problem":[68],"thus":[70],"needs":[71],"assisted":[74],"by":[75,144,174],"manual":[76],"recognition.":[77],"In":[78],"this":[79],"study,":[80],"recovery":[82,110,147,177,194],"method":[83,111,157,178,189,195],"images":[87,126],"with":[88,127],"large":[89,128],"angles":[90],"proposed":[92],"perspective":[95],"projection":[96],"increase":[98],"accuracy.":[101],"experimental":[103],"results":[104],"show":[105],"that":[106,152,184],"applying":[107],"errors,":[121],"especially":[122],"angles.":[129],"For":[130,159],"case":[132,161],"small":[134],"angles,":[135,168],"rate":[138,172],"89%":[140],"achieved":[143,173],"method,":[148],"slightly":[149],"higher":[150,182],"than":[151,183],"plane":[155,187],"rotation":[156,188],"(86%).":[158],"wide":[164],"range":[165],"different":[167],"average":[170],"87.5%,":[180],"much":[181],"(57.5%).":[190],"Thus,":[191],"enhancing":[199],"accuracy":[201],"systems.":[206]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}