{"id":"https://openalex.org/W4378417290","doi":"https://doi.org/10.1109/isdfs58141.2023.10131758","title":"Deep Learning Model for Automatic Number/License Plate Detection and Recognition System in Campus Gates","display_name":"Deep Learning Model for Automatic Number/License Plate Detection and Recognition System in Campus Gates","publication_year":2023,"publication_date":"2023-05-11","ids":{"openalex":"https://openalex.org/W4378417290","doi":"https://doi.org/10.1109/isdfs58141.2023.10131758"},"language":"en","primary_location":{"id":"doi:10.1109/isdfs58141.2023.10131758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isdfs58141.2023.10131758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 11th International Symposium on Digital Forensics and Security (ISDFS)","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/A5081135407","display_name":"Twana Mustafa","orcid":"https://orcid.org/0000-0001-5352-2628"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Twana Mustafa","raw_affiliation_strings":["Fırat University,Department of Software Engineering,Elazig,Turkey"],"affiliations":[{"raw_affiliation_string":"Fırat University,Department of Software Engineering,Elazig,Turkey","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037649961","display_name":"Murat Karabatak","orcid":"https://orcid.org/0000-0002-6719-7421"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Murat Karabatak","raw_affiliation_strings":["Fırat University,Department of Software Engineering,Elazig,Turkey"],"affiliations":[{"raw_affiliation_string":"Fırat University,Department of Software Engineering,Elazig,Turkey","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081135407"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4373,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.90120765,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9839000105857849,"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/T12546","display_name":"Smart Parking Systems Research","score":0.9708999991416931,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.7879998683929443},{"id":"https://openalex.org/keywords/license","display_name":"License","score":0.6999566555023193},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.6821326017379761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6304465532302856},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6206088066101074},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4629778265953064}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7879998683929443},{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.6999566555023193},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.6821326017379761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6304465532302856},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6206088066101074},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4629778265953064},{"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:10.1109/isdfs58141.2023.10131758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isdfs58141.2023.10131758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 11th International Symposium on Digital Forensics and Security (ISDFS)","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":23,"referenced_works":["https://openalex.org/W2801182074","https://openalex.org/W2966892372","https://openalex.org/W2987455259","https://openalex.org/W3036813579","https://openalex.org/W3159184664","https://openalex.org/W3163099754","https://openalex.org/W3164930945","https://openalex.org/W3167863790","https://openalex.org/W4214652084","https://openalex.org/W4226455510","https://openalex.org/W4281945245","https://openalex.org/W4283079051","https://openalex.org/W4285802941","https://openalex.org/W4295036394","https://openalex.org/W4296771024","https://openalex.org/W4301955319","https://openalex.org/W4313117045","https://openalex.org/W4327782126","https://openalex.org/W4327813623","https://openalex.org/W4380031120","https://openalex.org/W6796425091","https://openalex.org/W6809440720","https://openalex.org/W6853190956"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W3009238340","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407"],"abstract_inverted_index":{"Automatic":[0,25],"Number":[1,26],"Plate":[2,27],"Recognition":[3,28],"(ANPR)":[4,29],"is":[5,30],"a":[6,31,136],"technique":[7],"designed":[8],"to":[9,75,113],"read":[10],"vehicle":[11,48,91],"number":[12,92],"plates":[13,93],"without":[14],"human":[15],"intervention":[16],"using":[17],"high":[18],"speed":[19],"image":[20],"capture":[21],"with":[22,71],"supporting":[23],"illumination.":[24],"critical":[32],"technology":[33],"that":[34,126],"enables":[35],"the":[36,56,82,105,108,115,120,127,154,163],"monitoring":[37],"and":[38,43,66,89,101,117,132,158],"control":[39],"of":[40,58,84,110,119,129,147,156],"road":[41],"traffic":[42],"parking":[44],"management,":[45,51],"towing":[46],"systems,":[47],"gate":[49],"entry":[50],"etc.":[52],"This":[53],"paper":[54,106],"explores":[55],"use":[57],"deep":[59,130],"learning":[60,131],"techniques,":[61],"including":[62,97],"OpenCV,":[63],"YOLO,":[64],"PaddleOCR,":[65],"Tesseract":[67],"OCR,":[68],"in":[69,87,162],"combination":[70],"Python":[72],"programming":[73],"language,":[74],"develop":[76],"ANPR":[77,121,140,160],"systems.":[78],"The":[79,123,145],"study":[80,124,149],"investigates":[81],"effectiveness":[83,118],"these":[85],"techniques":[86,134],"detecting":[88],"recognizing":[90],"under":[94,141],"different":[95,142],"conditions,":[96],"lightly,":[98],"sunny,":[99],"rainy,":[100],"darkness":[102],"environments.":[103],"Additionally,":[104],"presents":[107],"results":[109],"experiments":[111],"conducted":[112],"evaluate":[114],"accuracy":[116],"system.":[122],"finds":[125],"integration":[128],"OCR":[133],"provides":[135],"robust":[137],"solution":[138],"for":[139,153],"environmental":[143],"conditions.":[144],"findings":[146],"this":[148],"have":[150],"important":[151],"implications":[152],"development":[155],"efficient":[157],"accurate":[159],"systems":[161],"future.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}