{"id":"https://openalex.org/W3038493380","doi":"https://doi.org/10.1145/3403746.3403912","title":"ROI-based Deep Learning Method for Variable-length License Plate Character Segmentation","display_name":"ROI-based Deep Learning Method for Variable-length License Plate Character Segmentation","publication_year":2020,"publication_date":"2020-05-22","ids":{"openalex":"https://openalex.org/W3038493380","doi":"https://doi.org/10.1145/3403746.3403912","mag":"3038493380"},"language":"en","primary_location":{"id":"doi:10.1145/3403746.3403912","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3403746.3403912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 3rd International Conference on Computer Science and Software Engineering","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/A5100411860","display_name":"Dan Wang","orcid":"https://orcid.org/0000-0002-8709-1974"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Dan Wang","raw_affiliation_strings":["Department of Mathematics, University of Macau, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042066946","display_name":"Bingshu Wang","orcid":"https://orcid.org/0000-0002-2603-8328"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Bingshu Wang","raw_affiliation_strings":["Department of Computer and Information, University of Macau, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048133919","display_name":"Chen Yang","orcid":"https://orcid.org/0000-0002-9797-982X"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yang Chen","raw_affiliation_strings":["Department of Mathematics, University of Macau, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3826,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67723916,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"102","last_page":"106"},"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":0.9804999828338623,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9545999765396118,"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":0.8522704243659973},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.8510446548461914},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8147132396697998},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.783666729927063},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7316242456436157},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6404682993888855},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5320547223091125},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4906136095523834},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.47358399629592896},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.4507574439048767},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4397675693035126},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.431090384721756},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13772693276405334}],"concepts":[{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.8522704243659973},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.8510446548461914},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8147132396697998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.783666729927063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7316242456436157},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6404682993888855},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5320547223091125},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4906136095523834},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.47358399629592896},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.4507574439048767},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4397675693035126},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.431090384721756},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13772693276405334},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3403746.3403912","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3403746.3403912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 3rd International Conference on Computer Science and Software Engineering","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":14,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1963975344","https://openalex.org/W2024121930","https://openalex.org/W2102608210","https://openalex.org/W2153635508","https://openalex.org/W2550229148","https://openalex.org/W2557728737","https://openalex.org/W2613718673","https://openalex.org/W2765438788","https://openalex.org/W2890126432","https://openalex.org/W2989753370","https://openalex.org/W3011698205","https://openalex.org/W3103158247","https://openalex.org/W4246277481"],"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/W3104168426","https://openalex.org/W1603675680","https://openalex.org/W2343406053","https://openalex.org/W1522196789"],"abstract_inverted_index":{"License":[0],"plate":[1,9,21,70,112],"character":[2,71,82,96,108,125,134],"segmentation":[3,83,135],"plays":[4],"link":[5],"function":[6],"between":[7],"license":[8,20,40,47,69,111,137],"detection":[10,22,109],"and":[11,23,49,80,113,122],"recognition.":[12],"It":[13,73],"is":[14,32,101],"based":[15],"on":[16,45,52],"the":[17,33,39,53,58,76,94,119,124],"results":[18,140],"of":[19,35,110,136],"produces":[24],"segmented":[25],"characters":[26,77],"for":[27,67,107,133],"subsequent":[28],"recognition":[29],"module.":[30],"Character":[31],"region":[34],"interest":[36],"(ROI)":[37],"in":[38,150],"plate.":[41,138],"Previous":[42],"works":[43],"focus":[44],"fixed-length":[46],"plates":[48],"face":[50],"challenging":[51],"slant":[54],"plates.":[55],"To":[56],"solve":[57],"problem,":[59],"we":[60,129],"propose":[61],"an":[62],"ROI-based":[63],"deep":[64],"learning":[65],"method":[66,144],"variable-length":[68],"segmentation.":[72],"treats":[74],"all":[75],"as":[78,84],"objects":[79],"converts":[81],"object":[85],"detection.":[86],"This":[87],"paper":[88],"exploits":[89],"Faster":[90],"R-CNN":[91],"to":[92,103],"detect":[93],"possible":[95],"regions.":[97],"Region":[98],"Proposal":[99],"Network":[100],"designed":[102],"provide":[104],"sufficient":[105],"proposals":[106],"full":[114],"connected":[115],"network":[116],"can":[117,145],"modify":[118],"candidate":[120],"boxes":[121],"predict":[123],"class":[126],"simultaneously.":[127],"Moreover,":[128],"create":[130],"a":[131,147],"dataset":[132],"Experimental":[139],"demonstrate":[141],"that":[142],"our":[143],"achieve":[146],"high":[148],"accuracy":[149],"three":[151],"scenes":[152],"compared":[153],"with":[154],"some":[155],"state-of-the-art":[156],"approaches.":[157]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}