{"id":"https://openalex.org/W4321063817","doi":"https://doi.org/10.1109/m2vip55626.2022.10041077","title":"Indian Commercial Truck License Plate Detection and Recognition for Weighbridge Automation","display_name":"Indian Commercial Truck License Plate Detection and Recognition for Weighbridge Automation","publication_year":2022,"publication_date":"2022-11-16","ids":{"openalex":"https://openalex.org/W4321063817","doi":"https://doi.org/10.1109/m2vip55626.2022.10041077"},"language":"en","primary_location":{"id":"doi:10.1109/m2vip55626.2022.10041077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip55626.2022.10041077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 28th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","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/A5038205761","display_name":"Siddharth Agrawal","orcid":"https://orcid.org/0000-0002-1156-5205"},"institutions":[{"id":"https://openalex.org/I52527943","display_name":"Ahmedabad University","ror":"https://ror.org/02swff503","country_code":"IN","type":"education","lineage":["https://openalex.org/I52527943"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Siddharth Agrawal","raw_affiliation_strings":["Ahmadabad University,School of Arts and Sciences,Ahmedabad,India","School of Arts and Sciences, Ahmadabad University, Ahmedabad, India"],"affiliations":[{"raw_affiliation_string":"Ahmadabad University,School of Arts and Sciences,Ahmedabad,India","institution_ids":["https://openalex.org/I52527943"]},{"raw_affiliation_string":"School of Arts and Sciences, Ahmadabad University, Ahmedabad, India","institution_ids":["https://openalex.org/I52527943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103170979","display_name":"Keyur D. Joshi","orcid":"https://orcid.org/0000-0003-0786-7881"},"institutions":[{"id":"https://openalex.org/I52527943","display_name":"Ahmedabad University","ror":"https://ror.org/02swff503","country_code":"IN","type":"education","lineage":["https://openalex.org/I52527943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Keyur D. Joshi","raw_affiliation_strings":["Ahmadabad University,School of Engineering and Applied Sciences,Ahmedabad,India","School of Engineering and Applied Sciences, Ahmadabad University, Ahmedabad, India"],"affiliations":[{"raw_affiliation_string":"Ahmadabad University,School of Engineering and Applied Sciences,Ahmedabad,India","institution_ids":["https://openalex.org/I52527943"]},{"raw_affiliation_string":"School of Engineering and Applied Sciences, Ahmadabad University, Ahmedabad, India","institution_ids":["https://openalex.org/I52527943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038205761"],"corresponding_institution_ids":["https://openalex.org/I52527943"],"apc_list":null,"apc_paid":null,"fwci":0.33,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63331932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9962999820709229,"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":0.9617999792098999,"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":0.9533650875091553},{"id":"https://openalex.org/keywords/alphanumeric","display_name":"Alphanumeric","score":0.8967797160148621},{"id":"https://openalex.org/keywords/truck","display_name":"Truck","score":0.6747182607650757},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6547194719314575},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.49790215492248535},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.47973528504371643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4643450379371643},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3822711706161499},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32056909799575806},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23808017373085022},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.0787215530872345}],"concepts":[{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.9533650875091553},{"id":"https://openalex.org/C2781003394","wikidata":"https://www.wikidata.org/wiki/Q737372","display_name":"Alphanumeric","level":2,"score":0.8967797160148621},{"id":"https://openalex.org/C52121051","wikidata":"https://www.wikidata.org/wiki/Q43193","display_name":"Truck","level":2,"score":0.6747182607650757},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6547194719314575},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.49790215492248535},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.47973528504371643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4643450379371643},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3822711706161499},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32056909799575806},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23808017373085022},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0787215530872345},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/m2vip55626.2022.10041077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip55626.2022.10041077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 28th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","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":32,"referenced_works":["https://openalex.org/W2024121930","https://openalex.org/W2343052201","https://openalex.org/W2886934227","https://openalex.org/W2897185734","https://openalex.org/W2910682931","https://openalex.org/W2963173418","https://openalex.org/W2963587345","https://openalex.org/W2970597249","https://openalex.org/W3005948209","https://openalex.org/W3023995259","https://openalex.org/W3035682985","https://openalex.org/W3094502228","https://openalex.org/W3109173194","https://openalex.org/W3125507956","https://openalex.org/W3138516171","https://openalex.org/W3175981075","https://openalex.org/W3177684257","https://openalex.org/W3179897446","https://openalex.org/W3181186176","https://openalex.org/W3184557382","https://openalex.org/W3198690111","https://openalex.org/W3204479434","https://openalex.org/W3210056995","https://openalex.org/W4226085172","https://openalex.org/W4226309012","https://openalex.org/W4226329156","https://openalex.org/W4283819468","https://openalex.org/W4287114362","https://openalex.org/W4312879041","https://openalex.org/W4386076325","https://openalex.org/W4386410320","https://openalex.org/W6629590909"],"related_works":["https://openalex.org/W2049379968","https://openalex.org/W2461009308","https://openalex.org/W2048515600","https://openalex.org/W2322679734","https://openalex.org/W2507454043","https://openalex.org/W2236176244","https://openalex.org/W3020785726","https://openalex.org/W4313066903","https://openalex.org/W4321063817","https://openalex.org/W2349007618"],"abstract_inverted_index":{"Detection":[0],"and":[1,21,62,85,105,110,127,141],"recognition":[2,52],"of":[3,36,59,91,98],"a":[4,54,103,120],"licence":[5],"plate":[6,51,180],"is":[7,31],"important":[8],"when":[9],"automating":[10],"weighbridge":[11,63],"services.":[12],"While":[13],"many":[14],"large":[15],"databases":[16,35],"are":[17,42,71,115],"available":[18],"for":[19,27],"Latin":[20],"Chinese":[22],"alphanumeric":[23],"license":[24,40,50,69,93,113,125,179],"plates,":[25,94,126],"data":[26,79],"Indian":[28,37],"License":[29],"Plates":[30],"inadequate.":[32],"In":[33],"particular,":[34],"commercial":[38,48,123],"truck":[39,124],"plates":[41,70,114],"inadequate,":[43],"despite":[44],"the":[45,88,152,157,176],"fact":[46],"that":[47],"vehicle":[49],"plays":[53],"profound":[55],"role":[56],"in":[57,131,171],"terms":[58],"logistics":[60],"management":[61],"automation.":[64],"Moreover,":[65],"models":[66,107,130],"to":[67,75,77,81,87,96,108],"recognise":[68,109],"not":[72],"effectively":[73],"able":[74],"generalise":[76],"such":[78,112],"due":[80,86],"its":[82],"challenging":[83,178],"nature,":[84],"abundant":[89],"frequency":[90],"handwritten":[92],"leading":[95],"usage":[97],"diverse":[99],"font":[100],"styles.":[101],"Thus,":[102],"database":[104,121],"effective":[106],"detect":[111],"crucial.":[116],"This":[117],"paper":[118],"provides":[119],"on":[122,175],"using":[128],"state-of-the-art":[129],"real-time":[132],"Object":[133],"Detection:":[134],"You":[135],"Only":[136],"Look":[137],"Once":[138],"Version":[139],"7,":[140],"Scene":[142],"Text":[143],"Recognition:":[144],"Permuted":[145],"Autoregressive":[146],"Sequence":[147],"Models,":[148],"our":[149,172],"method":[150],"outperforms":[151],"other":[153],"cited":[154],"references":[155],"where":[156],"maximum":[158],"accuracy":[159,170],"obtained":[160],"was":[161],"less":[162],"than":[163],"90%,":[164],"while":[165],"we":[166],"have":[167],"achieved":[168],"95.82%":[169],"algorithm":[173],"implementation":[174],"presented":[177],"dataset.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}