{"id":"https://openalex.org/W4404033170","doi":"https://doi.org/10.1109/icccnt61001.2024.10726263","title":"Automated Virtual Toll Booth System Based on Number Plate Recognition Using YOLOv8 and EasyOCR","display_name":"Automated Virtual Toll Booth System Based on Number Plate Recognition Using YOLOv8 and EasyOCR","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4404033170","doi":"https://doi.org/10.1109/icccnt61001.2024.10726263"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt61001.2024.10726263","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10726263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th 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/A5054345945","display_name":"Senthil Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I4399657946","display_name":"Rajalakshmi Engineering College","ror":"https://ror.org/01dw2vm55","country_code":null,"type":"education","lineage":["https://openalex.org/I4399657946"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S Vinod Kumar","raw_affiliation_strings":["Rajalakshmi Engineering College,Department of Computer Science and Engineering,Chennai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rajalakshmi Engineering College,Department of Computer Science and Engineering,Chennai,India","institution_ids":["https://openalex.org/I4399657946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042314176","display_name":"S Ponmani","orcid":null},"institutions":[{"id":"https://openalex.org/I4399657946","display_name":"Rajalakshmi Engineering College","ror":"https://ror.org/01dw2vm55","country_code":null,"type":"education","lineage":["https://openalex.org/I4399657946"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S Ponmani","raw_affiliation_strings":["Rajalakshmi Engineering College,Department of Computer Science and Engineering,Chennai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rajalakshmi Engineering College,Department of Computer Science and Engineering,Chennai,India","institution_ids":["https://openalex.org/I4399657946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101880279","display_name":"Ketan Anand","orcid":"https://orcid.org/0000-0002-2754-9795"},"institutions":[{"id":"https://openalex.org/I4399657946","display_name":"Rajalakshmi Engineering College","ror":"https://ror.org/01dw2vm55","country_code":null,"type":"education","lineage":["https://openalex.org/I4399657946"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K Anand","raw_affiliation_strings":["Rajalakshmi Engineering College,Department of Computer Science and Engineering,Chennai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rajalakshmi Engineering College,Department of Computer Science and Engineering,Chennai,India","institution_ids":["https://openalex.org/I4399657946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019394265","display_name":"K Ananthajothi","orcid":null},"institutions":[{"id":"https://openalex.org/I4399657946","display_name":"Rajalakshmi Engineering College","ror":"https://ror.org/01dw2vm55","country_code":null,"type":"education","lineage":["https://openalex.org/I4399657946"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K Ananthajothi","raw_affiliation_strings":["Rajalakshmi Engineering College,Department of Computer Science and Engineering,Chennai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rajalakshmi Engineering College,Department of Computer Science and Engineering,Chennai,India","institution_ids":["https://openalex.org/I4399657946"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054345945"],"corresponding_institution_ids":["https://openalex.org/I4399657946"],"apc_list":null,"apc_paid":null,"fwci":1.1989,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82592158,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9320999979972839,"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/toll","display_name":"Toll","score":0.7080294489860535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.658401608467102},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5576215982437134},{"id":"https://openalex.org/keywords/character-recognition","display_name":"Character recognition","score":0.5006155967712402},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4830513596534729},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4659807085990906},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32070207595825195},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06283006072044373}],"concepts":[{"id":"https://openalex.org/C2778025104","wikidata":"https://www.wikidata.org/wiki/Q408004","display_name":"Toll","level":2,"score":0.7080294489860535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.658401608467102},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5576215982437134},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.5006155967712402},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4830513596534729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4659807085990906},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32070207595825195},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06283006072044373},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt61001.2024.10726263","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10726263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/W4226251764","https://openalex.org/W4292054049","https://openalex.org/W4299415081","https://openalex.org/W4312526458","https://openalex.org/W4313224863","https://openalex.org/W4318969899","https://openalex.org/W4327813623","https://openalex.org/W4376851582","https://openalex.org/W4382394974","https://openalex.org/W4386287171","https://openalex.org/W4387349415","https://openalex.org/W4387735111","https://openalex.org/W4388670508","https://openalex.org/W4389981104","https://openalex.org/W4390768246","https://openalex.org/W4392143980"],"related_works":["https://openalex.org/W2757240192","https://openalex.org/W592613903","https://openalex.org/W2353712315","https://openalex.org/W152632708","https://openalex.org/W588210059","https://openalex.org/W3022029543","https://openalex.org/W2359940423","https://openalex.org/W2378169260","https://openalex.org/W582981267","https://openalex.org/W2489749982"],"abstract_inverted_index":{"In":[0],"this":[1,50],"work,":[2],"a":[3,32,84,102,109,142,157,166],"virtual":[4],"toll":[5,45,57,64,115,148,162,173,202,239,256,265],"booth":[6,163],"system":[7,40,53,249],"utilizing":[8],"cutting-edge":[9],"technologies":[10],"like":[11],"EasyOCR":[12,125],"with":[13,34,241],"optical":[14],"character":[15],"recognition,":[16,38],"or":[17,66,210],"OCR,":[18],"and":[19,135,164,177,186,227,237,262],"YOLOv8":[20,137],"for":[21,62],"object":[22],"detection":[23],"is":[24,41,81,90,121,144,149,155,200,207,211],"introduced.":[25],"By":[26,48],"connecting":[27],"the":[28,39,52,60,91,95,105,114,119,124,129,132,136,152,161,170,175,180,182,194,197,204,215,224,228,248,252],"accounts":[29],"stored":[30,192],"in":[31,83,94,169,193],"database":[33,85,195],"vehicle":[35],"number":[36,73,133,168,206],"plate":[37,107,134,154],"meant":[42],"to":[43,113,127,139,222],"streamline":[44],"collection":[46,266],"procedures.":[47,267],"using":[49,123],"technique,":[51],"may":[54],"efficiently":[55],"handle":[56],"transactions":[58,240],"without":[59],"need":[61],"actual":[63],"booths":[65],"human":[67],"involvement.":[68],"The":[69,98,172,244],"registration":[70,205],"of":[71,104,160,179,214,255],"car":[72,110,143],"plates":[74,236],"as":[75,77],"well":[76],"owner":[78],"data,":[79],"which":[80],"kept":[82],"based":[86],"on":[87],"CSV":[88],"files,":[89],"first":[92],"step":[93],"system\u2019s":[96,99,225],"process.":[97],"camera":[100],"takes":[101],"picture":[103],"license":[106,153,184,235],"when":[108],"gets":[111],"close":[112],"station.":[116],"After":[117],"that,":[118],"image":[120],"processed":[122],"engine":[126],"extract":[128],"information":[130],"from":[131],"algorithm":[138],"determine":[140],"whether":[141],"present.":[145],"An":[146],"extra":[147],"charged":[150],"if":[151,203],"within":[156],"set":[158],"distance":[159],"matches":[165],"registered":[167],"database.":[171],"amount,":[174],"date":[176],"time":[178],"transaction,":[181],"vehicle\u2019s":[183],"plate,":[185],"other":[187],"transaction":[188],"details":[189],"are":[190],"all":[191],"by":[196],"system.":[198],"There":[199],"no":[201],"not":[208],"found":[209,212],"outside":[213],"predetermined":[216],"range.":[217],"Comprehensive":[218],"testing":[219],"was":[220],"used":[221],"assess":[223],"performance,":[226],"results":[229,245],"showed":[230],"that":[231,247],"it":[232],"could":[233],"recognize":[234],"manage":[238],"high":[242],"accuracy.":[243],"show":[246],"can":[250],"increase":[251],"overall":[253],"efficiency":[254],"management":[257],"systems,":[258],"reduce":[259],"operational":[260],"expenses,":[261],"speed":[263],"up":[264]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-05-10T08:33:47.465468","created_date":"2025-10-10T00:00:00"}