{"id":"https://openalex.org/W2575059866","doi":"https://doi.org/10.1109/apccas.2016.7804078","title":"Text information acquisition method of traffic signs for autonomous navigation","display_name":"Text information acquisition method of traffic signs for autonomous navigation","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2575059866","doi":"https://doi.org/10.1109/apccas.2016.7804078","mag":"2575059866"},"language":"en","primary_location":{"id":"doi:10.1109/apccas.2016.7804078","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas.2016.7804078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)","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/A5100737781","display_name":"Hyun-Tae Kim","orcid":"https://orcid.org/0009-0005-2247-9571"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyun-Tae Kim","raw_affiliation_strings":["School of Electrical Engineering, University of Ulsan, Ulsan, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, University of Ulsan, Ulsan, Republic of Korea","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009266259","display_name":"Jinseong Jeong","orcid":"https://orcid.org/0000-0002-9484-5922"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin-Seong Jeong","raw_affiliation_strings":["School of Electrical Engineering, University of Ulsan, Ulsan, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, University of Ulsan, Ulsan, Republic of Korea","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038200638","display_name":"Bruce Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Bruce Kim","raw_affiliation_strings":["School of Electrical Engineering, University of Ulsan, Ulsan, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, University of Ulsan, Ulsan, Republic of Korea","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023071963","display_name":"Sang\u2010Bock Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang-Bock Cho","raw_affiliation_strings":["School of Electrical Engineering, University of Ulsan, Ulsan, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, University of Ulsan, Ulsan, Republic of Korea","institution_ids":["https://openalex.org/I40542001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100737781"],"corresponding_institution_ids":["https://openalex.org/I40542001"],"apc_list":null,"apc_paid":null,"fwci":0.3324,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68822611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"51","issue":null,"first_page":"727","last_page":"729"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9836999773979187,"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":0.9836999773979187,"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/T13243","display_name":"Innovation in Digital Healthcare Systems","score":0.9520000219345093,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9488999843597412,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/computer-vision","display_name":"Computer vision","score":0.7732259035110474},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7291242480278015},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7067538499832153},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.6658234000205994},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.6469166874885559},{"id":"https://openalex.org/keywords/tilt","display_name":"Tilt (camera)","score":0.5819774270057678},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5645092725753784},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5613519549369812},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.5477482676506042},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5439143776893616},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5116703510284424},{"id":"https://openalex.org/keywords/trigonometry","display_name":"Trigonometry","score":0.5030373930931091},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35357990860939026},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15198257565498352},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09897181391716003},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09140178561210632}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7732259035110474},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7291242480278015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7067538499832153},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.6658234000205994},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.6469166874885559},{"id":"https://openalex.org/C2779844322","wikidata":"https://www.wikidata.org/wiki/Q2919140","display_name":"Tilt (camera)","level":2,"score":0.5819774270057678},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5645092725753784},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5613519549369812},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.5477482676506042},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5439143776893616},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5116703510284424},{"id":"https://openalex.org/C29001434","wikidata":"https://www.wikidata.org/wiki/Q8084","display_name":"Trigonometry","level":2,"score":0.5030373930931091},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35357990860939026},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15198257565498352},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09897181391716003},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09140178561210632},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apccas.2016.7804078","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas.2016.7804078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2060663493","https://openalex.org/W2125186487","https://openalex.org/W2324364023","https://openalex.org/W6678589667"],"related_works":["https://openalex.org/W2030098947","https://openalex.org/W2363834444","https://openalex.org/W2003466055","https://openalex.org/W2070077862","https://openalex.org/W2164944168","https://openalex.org/W262984167","https://openalex.org/W2372868647","https://openalex.org/W2070290716","https://openalex.org/W2360544904","https://openalex.org/W2078764231"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3],"the":[4,11,39],"tilt":[5,42],"compensation":[6,9,40,52],"and":[7,38,48,56],"resolution":[8,51],"as":[10],"process":[12,28],"for":[13,29,53],"efficient":[14],"recognizing":[15],"text":[16],"information":[17],"on":[18,41],"traffic":[19],"signs":[20],"of":[21,33,60],"Korea.":[22],"OCR(Optical":[23],"Character":[24],"Recognition),":[25],"overall":[26],"processing":[27],"solving":[30],"structural":[31],"limit":[32],"Template":[34],"Matching":[35],"was":[36,43,64],"suggested,":[37],"conducted":[44],"through":[45,66],"Hough":[46],"line":[47],"trigonometry.":[49],"And,":[50],"damaged":[54],"pixels":[55],"enhancing":[57],"image":[58,63],"quality":[59],"low":[61],"definition":[62],"settled":[65],"FFT(Fast":[67],"Fourier":[68],"Transform).":[69]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}