{"id":"https://openalex.org/W4388950912","doi":"https://doi.org/10.1109/icccnt56998.2023.10307008","title":"Automatic License Plate Recognition System","display_name":"Automatic License Plate Recognition System","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4388950912","doi":"https://doi.org/10.1109/icccnt56998.2023.10307008"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt56998.2023.10307008","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt56998.2023.10307008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5100922428","display_name":"Gunpreet Kaur","orcid":"https://orcid.org/0000-0002-8446-1079"},"institutions":[{"id":"https://openalex.org/I101407740","display_name":"Chandigarh University","ror":"https://ror.org/05t4pvx35","country_code":"IN","type":"education","lineage":["https://openalex.org/I101407740"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Gunpreet Kaur","raw_affiliation_strings":["Chandigarh University,Department of Computer Science and Engineering,Mohali,India"],"affiliations":[{"raw_affiliation_string":"Chandigarh University,Department of Computer Science and Engineering,Mohali,India","institution_ids":["https://openalex.org/I101407740"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062515713","display_name":"Amit Jaiswal","orcid":"https://orcid.org/0000-0001-7956-8392"},"institutions":[{"id":"https://openalex.org/I101407740","display_name":"Chandigarh University","ror":"https://ror.org/05t4pvx35","country_code":"IN","type":"education","lineage":["https://openalex.org/I101407740"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amit Kumar Jaiswal","raw_affiliation_strings":["Chandigarh University,Department of Computer Science and Engineering,Mohali,India"],"affiliations":[{"raw_affiliation_string":"Chandigarh University,Department of Computer Science and Engineering,Mohali,India","institution_ids":["https://openalex.org/I101407740"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108140920","display_name":"Rajesh Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I101407740","display_name":"Chandigarh University","ror":"https://ror.org/05t4pvx35","country_code":"IN","type":"education","lineage":["https://openalex.org/I101407740"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajesh Kumar","raw_affiliation_strings":["Chandigarh University,Department of Computer Science and Engineering,Mohali,India"],"affiliations":[{"raw_affiliation_string":"Chandigarh University,Department of Computer Science and Engineering,Mohali,India","institution_ids":["https://openalex.org/I101407740"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077089491","display_name":"Kanika Thakur","orcid":"https://orcid.org/0009-0005-3550-5126"},"institutions":[{"id":"https://openalex.org/I101407740","display_name":"Chandigarh University","ror":"https://ror.org/05t4pvx35","country_code":"IN","type":"education","lineage":["https://openalex.org/I101407740"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kanika Thakur","raw_affiliation_strings":["Chandigarh University,Department of Computer Science and Engineering,Mohali,India"],"affiliations":[{"raw_affiliation_string":"Chandigarh University,Department of Computer Science and Engineering,Mohali,India","institution_ids":["https://openalex.org/I101407740"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100922428"],"corresponding_institution_ids":["https://openalex.org/I101407740"],"apc_list":null,"apc_paid":null,"fwci":0.4869,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69635469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"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":0.979200005531311,"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":0.9488999843597412,"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/alphanumeric","display_name":"Alphanumeric","score":0.8666532635688782},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.7485793828964233},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7282416224479675},{"id":"https://openalex.org/keywords/license","display_name":"License","score":0.717228353023529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6790292263031006},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6253111958503723},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6251730918884277},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5578855276107788},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5539098978042603},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4710034430027008},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.4345993399620056},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4181557297706604},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23766782879829407}],"concepts":[{"id":"https://openalex.org/C2781003394","wikidata":"https://www.wikidata.org/wiki/Q737372","display_name":"Alphanumeric","level":2,"score":0.8666532635688782},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.7485793828964233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7282416224479675},{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.717228353023529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6790292263031006},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6253111958503723},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6251730918884277},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5578855276107788},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5539098978042603},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4710034430027008},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.4345993399620056},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4181557297706604},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23766782879829407},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt56998.2023.10307008","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt56998.2023.10307008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4699999988079071,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W639740945","https://openalex.org/W2126580567","https://openalex.org/W2151815580","https://openalex.org/W2284397669","https://openalex.org/W2808641522","https://openalex.org/W2991053966","https://openalex.org/W3116741301","https://openalex.org/W3159184664","https://openalex.org/W4312353211","https://openalex.org/W4318586119","https://openalex.org/W6751659236"],"related_works":["https://openalex.org/W3020785726","https://openalex.org/W4313066903","https://openalex.org/W4321063817","https://openalex.org/W4200491602","https://openalex.org/W3210847758","https://openalex.org/W3015507988","https://openalex.org/W3044341113","https://openalex.org/W2956037940","https://openalex.org/W3006692928","https://openalex.org/W4385187174"],"abstract_inverted_index":{"ALPR,":[0],"also":[1],"known":[2],"as":[3,100],"Automatic":[4],"License":[5],"Plate":[6],"Recognition,":[7],"is":[8,44,174],"a":[9,18,34,79],"technological":[10],"system":[11,77,173],"that":[12,82],"employs":[13,78],"the":[14,26,69,94,112,115,124,129,146,155,164,170],"characters":[15,119,162],"displayed":[16],"on":[17],"vehicle\u2019s":[19],"license":[20,36,125,142,192],"plate":[21,126,143,193],"to":[22,64,110,202],"identify":[23],"and":[24,55,61,72,90,105,140,151,159,188],"distinguish":[25],"vehicle.":[27],"This":[28],"information":[29],"can":[30],"be":[31],"used":[32],"create":[33],"reliable":[35],"plate-based":[37],"automatic":[38],"vehicle":[39],"identification":[40],"system.":[41],"The":[42,74,167,195],"technology":[43],"put":[45],"into":[46],"place":[47],"at":[48],"security":[49],"inspection":[50],"entries":[51],"in":[52,211],"extremely":[53],"restricted":[54],"secure":[56],"regions":[57],"including":[58],"military":[59],"zones":[60],"areas":[62],"close":[63],"significant":[65],"government":[66],"institutions":[67],"like":[68,135],"Supreme":[70],"Court":[71],"Parliament.":[73],"suggested":[75,171],"ALPR":[76,172],"multi-step":[80],"approach":[81],"involves":[83],"optical":[84],"character":[85,91,130],"recognition":[86,153],"(OCR),":[87],"image":[88,95,106],"processing,":[89],"segmentation.":[92],"In":[93],"processing":[96,197],"stage,":[97],"techniques":[98],"such":[99],"edge":[101],"detection,":[102],"noise":[103],"reduction,":[104],"enhancement":[107],"are":[108,120],"utilized":[109],"enhance":[111],"quality":[113],"of":[114,148,169,183],"input":[116],"images.":[117],"Individual":[118],"then":[121],"separated":[122],"from":[123,163],"by":[127,176],"using":[128],"segmentation":[131],"module,":[132],"resolving":[133],"issues":[134],"overlapping":[136],"characters,":[137],"different":[138],"fonts,":[139],"varying":[141],"sizes.":[144],"Through":[145],"use":[147],"machine":[149],"learning":[150],"pattern":[152],"algorithms,":[154],"OCR":[156],"module":[157],"identifies":[158],"extracts":[160],"alphanumeric":[161],"segmented":[165],"regions.":[166],"efficiency":[168],"shown":[175],"experimental":[177],"findings,":[178],"achieving":[179],"an":[180],"overall":[181],"accuracy":[182],"90%":[184],"with":[185],"high":[186],"precision":[187],"recall":[189],"rates":[190],"for":[191],"identification.":[194],"system's":[196],"time":[198],"has":[199],"been":[200],"observed":[201],"fall":[203],"within":[204],"acceptable":[205],"limits,":[206],"enabling":[207],"its":[208],"real-time":[209],"implementation":[210],"practical":[212],"applications.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
