{"id":"https://openalex.org/W2146843926","doi":"https://doi.org/10.4304/jnw.5.12.1393-1400","title":"A Method of Vehicle License Plate De-noising and Location in Low Light Level","display_name":"A Method of Vehicle License Plate De-noising and Location in Low Light Level","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2146843926","doi":"https://doi.org/10.4304/jnw.5.12.1393-1400","mag":"2146843926"},"language":"en","primary_location":{"id":"doi:10.4304/jnw.5.12.1393-1400","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jnw.5.12.1393-1400","pdf_url":null,"source":{"id":"https://openalex.org/S189188848","display_name":"Journal of Networks","issn_l":"1796-2056","issn":["1796-2056"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Networks","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/A5075447841","display_name":"Pan Duan","orcid":"https://orcid.org/0000-0002-0613-4777"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Pan Duan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017941662","display_name":"Kaigui Xie","orcid":"https://orcid.org/0000-0002-7057-4304"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kaigui Xie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101592155","display_name":"Na Song","orcid":"https://orcid.org/0000-0003-4842-4753"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Na Song","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5003189541","display_name":"Qi-chang Duan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi-chang Duan","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075447841"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5361,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74150202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"5","issue":"12","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9980000257492065,"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":0.9980000257492065,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9351000189781189,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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-science","display_name":"Computer science","score":0.8883315324783325},{"id":"https://openalex.org/keywords/license","display_name":"License","score":0.7137759923934937},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4739948511123657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46157559752464294},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07243579626083374}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8883315324783325},{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.7137759923934937},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4739948511123657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46157559752464294},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07243579626083374}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4304/jnw.5.12.1393-1400","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jnw.5.12.1393-1400","pdf_url":null,"source":{"id":"https://openalex.org/S189188848","display_name":"Journal of Networks","issn_l":"1796-2056","issn":["1796-2056"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Networks","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.369.9605","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.369.9605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ojs.academypublisher.com/index.php/jnw/article/viewFile/051213931400/2401/","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407"],"abstract_inverted_index":{"Abstract\u2014License":[0],"plate":[1,21,50,71,124,130,162,177],"recognition":[2,40],"system":[3,16],"(LPRS)":[4],"is":[5,23,64,86,92,117],"one":[6],"of":[7,12,27,35,46,84,98,106,112,152],"the":[8,13,19,24,28,32,36,44,47,53,68,77,89,99,104,110,121,137,143,150,159],"most":[9],"important":[10],"parts":[11],"intelligent":[14],"transportation":[15],"(ITS),":[17],"and":[18,39,55,88,102,115,149,165],"license":[20,49,70,123,129,161,176],"location":[22,178],"key":[25],"part":[26],"LPRS,":[29],"it":[30],"affects":[31],"latter":[33],"phase":[34],"character":[37],"segmentation":[38],"directly.":[41],"According":[42],"to":[43,66,94,119],"characteristics":[45],"vehicle":[48,69,122,128,160,175],"which":[51],"contain":[52],"slat":[54],"pepper":[56],"noise":[57,85],"in":[58,72],"low":[59,73,144],"light":[60,74,145,169],"level,":[61,75,170],"wavelet":[62,138,171],"transform":[63],"adopted":[65],"recognize":[67],"then":[76],"high":[78],"frequency":[79],"coefficient":[80],"based":[81],"on":[82],"characteristic":[83],"reconstructed,":[87],"softthreshold":[90],"method":[91,111,140,151],"used":[93,118],"do":[95],"threshold":[96],"processing":[97],"reconstructed":[100],"image":[101,107,147],"obtain":[103],"effect":[105],"denoising.":[108],"Finally,":[109],"edge":[113,153,173],"detection":[114,154],"projection":[116,156],"locate":[120,158],"area":[125,163],"for":[126],"de-noising":[127],"image.":[131],"The":[132],"simulation":[133],"results":[134],"indicate":[135],"that":[136],"soft-threshold":[139],"can":[141,157],"de-noise":[142],"level":[146],"greatly":[148],"with":[155],"fast":[164],"accurately.\ufffd":[166],"Index":[167],"Terms\u2014low":[168],"de-noising,":[172],"detection,":[174],"I.":[179]},"counts_by_year":[{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}