{"id":"https://openalex.org/W4248202654","doi":"https://doi.org/10.1109/icpr.2004.1334387","title":"A hybrid license plate extraction method based on edge statistics and morphology","display_name":"A hybrid license plate extraction method based on edge statistics and morphology","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4248202654","doi":"https://doi.org/10.1109/icpr.2004.1334387"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1334387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334387","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101170186","display_name":"Hongliang Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bai Hongliang","raw_affiliation_strings":["Institute of Automation, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"last","author":{"id":null,"display_name":"Liu Changping","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Changping","raw_affiliation_strings":["Institute of Automation, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210094879"],"apc_list":null,"apc_paid":null,"fwci":6.9243,"has_fulltext":false,"cited_by_count":223,"citation_normalized_percentile":{"value":0.98249453,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"831","last_page":"834 Vol.2"},"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":0.973800003528595,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9319999814033508,"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":0.917258620262146},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.7560356259346008},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6726922988891602},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5430580377578735},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5392616391181946},{"id":"https://openalex.org/keywords/mathematical-morphology","display_name":"Mathematical morphology","score":0.4982752799987793},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49163633584976196},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4623125493526459},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36032769083976746},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.20674166083335876},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2033344805240631}],"concepts":[{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.917258620262146},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.7560356259346008},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6726922988891602},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5430580377578735},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5392616391181946},{"id":"https://openalex.org/C185568154","wikidata":"https://www.wikidata.org/wiki/Q530242","display_name":"Mathematical morphology","level":4,"score":0.4982752799987793},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49163633584976196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4623125493526459},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36032769083976746},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.20674166083335876},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2033344805240631},{"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2004.1334387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334387","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":16,"referenced_works":["https://openalex.org/W102704159","https://openalex.org/W1521804959","https://openalex.org/W2096307049","https://openalex.org/W2111962371","https://openalex.org/W2125405759","https://openalex.org/W2158750611","https://openalex.org/W2171518114","https://openalex.org/W2250088077","https://openalex.org/W2466478344","https://openalex.org/W2539092855","https://openalex.org/W6631252651","https://openalex.org/W6674339251","https://openalex.org/W6676359075","https://openalex.org/W6684772304","https://openalex.org/W6691427874","https://openalex.org/W6719644080"],"related_works":["https://openalex.org/W2371993351","https://openalex.org/W1601290793","https://openalex.org/W2348086063","https://openalex.org/W2073518521","https://openalex.org/W2109972144","https://openalex.org/W2103384355","https://openalex.org/W2370741721","https://openalex.org/W2142724665","https://openalex.org/W2539066280","https://openalex.org/W2008160399"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3],"hybrid":[4],"license":[5,52,57,71,96],"plate":[6,53,58,97],"extraction":[7],"algorithm":[8,61],"based":[9],"on":[10],"the":[11,18,26,31,67,74],"edge":[12,32,46,48],"statistics":[13],"and":[14,55,64],"morphology":[15],"for":[16],"monitoring":[17],"highway":[19],"ticketing":[20],"systems.":[21],"The":[22,34,60,90],"method":[23],"can":[24,37,62],"improve":[25],"location":[27],"rate":[28],"only":[29],"by":[30],"statistics.":[33],"proposed":[35],"approach":[36],"be":[38],"divided":[39],"into":[40],"four":[41],"sections,":[42],"which":[43,77],"are,":[44],"vertical":[45],"detection,":[47],"statistical":[49],"analysis,":[50],"hierarchical-based":[51],"location,":[54],"morphology-based":[56],"extraction.":[59],"quickly":[63],"correctly":[65],"detect":[66],"region":[68],"of":[69,93],"vehicle":[70,95],"plates.":[72],"Under":[73],"experiment":[75],"databases,":[76],"were":[78],"taken":[79],"from":[80,84],"real":[81],"scene,":[82],"9786":[83],"9825":[85],"images":[86],"are":[87],"successfully":[88],"detected.":[89],"average":[91],"accuracy":[92],"locating":[94],"is":[98],"99.6%.":[99]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":20},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":18},{"year":2013,"cited_by_count":18},{"year":2012,"cited_by_count":18}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}