{"id":"https://openalex.org/W7105732007","doi":"https://doi.org/10.70470/edraak/2025/014","title":"Detecting Similarity License Plate Vehicle License Via Using Deep CNNs in Complex Surroundings","display_name":"Detecting Similarity License Plate Vehicle License Via Using Deep CNNs in Complex Surroundings","publication_year":2025,"publication_date":"2025-10-01","ids":{"openalex":"https://openalex.org/W7105732007","doi":"https://doi.org/10.70470/edraak/2025/014"},"language":"en","primary_location":{"id":"doi:10.70470/edraak/2025/014","doi":"https://doi.org/10.70470/edraak/2025/014","is_oa":true,"landing_page_url":"https://doi.org/10.70470/edraak/2025/014","pdf_url":"https://peninsula-press.ae/Journals/index.php/EDRAAK/article/download/235/419","source":{"id":"https://openalex.org/S5407049272","display_name":"EDRAAK","issn_l":"3078-8412","issn":["3078-8412"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EDRAAK","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://peninsula-press.ae/Journals/index.php/EDRAAK/article/download/235/419","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jinan J. Abdulkareem","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4401200352","display_name":"Al-Farahidi University","ror":"https://ror.org/0409yxb12","country_code":null,"type":"education","lineage":["https://openalex.org/I4401200352"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Jinan J. Abdulkareem","raw_affiliation_strings":["Dept. Technical Engineering College, Al-Farahidi University, Baghdad, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Technical Engineering College, Al-Farahidi University, Baghdad, Iraq","institution_ids":["https://openalex.org/I4401200352"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ahmed Sameer Abdulmohsin","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405254227","display_name":"Al-Esraa University","ror":"https://ror.org/01jfp4b04","country_code":"IQ","type":"education","lineage":["https://openalex.org/I4405254227"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Ahmed Sameer Abdulmohsin","raw_affiliation_strings":["dept. Medical Instrumentation, Al-Esraa University College, Baghdad, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"dept. Medical Instrumentation, Al-Esraa University College, Baghdad, Iraq","institution_ids":["https://openalex.org/I4405254227"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hanan J. Abdulkareem","orcid":"https://orcid.org/0000-0001-8980-3165","observed_orcids":["https://orcid.org/0000-0001-8980-3165"]},"institutions":[{"id":"https://openalex.org/I4405254227","display_name":"Al-Esraa University","ror":"https://ror.org/01jfp4b04","country_code":"IQ","type":"education","lineage":["https://openalex.org/I4405254227"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Hanan J. Abdulkareem","raw_affiliation_strings":["dept. Medical Instrumentation, Al-Esraa University College, Baghdad, Iraq"],"raw_orcid":"https://orcid.org/0000-0001-8980-3165","affiliations":[{"raw_affiliation_string":"dept. Medical Instrumentation, Al-Esraa University College, Baghdad, Iraq","institution_ids":["https://openalex.org/I4405254227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40455688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2025","issue":null,"first_page":"111","last_page":"118"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.0,"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-plate-recognition","display_name":"license plate recognition","score":0.9900000095367432},{"id":"https://openalex.org/keywords/license-plate-localization","display_name":"license plate localization","score":0.9210000038146973},{"id":"https://openalex.org/keywords/vehicle-number-plate-detection","display_name":"vehicle number plate detection","score":0.7020000219345093},{"id":"https://openalex.org/keywords/vehicle-classification","display_name":"vehicle classification","score":0.6209999918937683},{"id":"https://openalex.org/keywords/deep-convolutional-neural-networks","display_name":"deep convolutional neural networks","score":0.8190000057220459},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.9480000138282776}],"concepts":[{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.9039000272750854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7232000231742859},{"id":"https://openalex.org/C151756577","wikidata":"https://www.wikidata.org/wiki/Q36810","display_name":"Quadrilateral","level":3,"score":0.6651999950408936},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6244999766349792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6092000007629395},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5295000076293945},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5163999795913696},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.38609999418258667},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.38269999623298645},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.38260000944137573},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.31470000743865967},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30979999899864197},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.28839999437332153},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.25870001316070557},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.70470/edraak/2025/014","doi":"https://doi.org/10.70470/edraak/2025/014","is_oa":true,"landing_page_url":"https://doi.org/10.70470/edraak/2025/014","pdf_url":"https://peninsula-press.ae/Journals/index.php/EDRAAK/article/download/235/419","source":{"id":"https://openalex.org/S5407049272","display_name":"EDRAAK","issn_l":"3078-8412","issn":["3078-8412"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EDRAAK","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:842ed29d9c9049ebac0a4098621b27c4","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/842ed29d9c9049ebac0a4098621b27c4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EDRAAK, Vol 2025 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.70470/edraak/2025/014","doi":"https://doi.org/10.70470/edraak/2025/014","is_oa":true,"landing_page_url":"https://doi.org/10.70470/edraak/2025/014","pdf_url":"https://peninsula-press.ae/Journals/index.php/EDRAAK/article/download/235/419","source":{"id":"https://openalex.org/S5407049272","display_name":"EDRAAK","issn_l":"3078-8412","issn":["3078-8412"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EDRAAK","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4943999946117401}],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5589711666107178}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7105732007.pdf","grobid_xml":"https://content.openalex.org/works/W7105732007.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"As":[0],"our":[1],"society":[2],"has":[3],"developed,":[4],"cars":[5],"on":[6],"the":[7,52,98,126,139],"road":[8],"have":[9],"increased.":[10],"Manual":[11],"license":[12,33,53,65,78,90,108,170],"plate":[13,34,54,66,109,171],"recognition":[14,35,67],"is":[15,19,55],"challenging":[16,49],"since":[17],"it":[18],"significantly":[20],"slower":[21],"in":[22,130,165],"real-time":[23],"than":[24],"when":[25],"performed":[26],"by":[27],"a":[28,61,69,77,83,131],"machine.":[29],"The":[30,43,80,111,145,159],"bulk":[31],"of":[32,95,135],"systems":[36],"utilized":[37],"morphological":[38],"image":[39],"processing":[40],"until":[41],"recently.":[42],"detection":[44],"rate":[45],"falls":[46],"drastically":[47],"under":[48],"situations":[50],"(when":[51],"blurry,":[56],"for":[57,103,138],"example).":[58],"We":[59],"suggest":[60],"novel":[62],"approach":[63],"to":[64,71,88],"as":[68],"solution":[70],"this":[72],"problem.":[73],"It":[74],"was":[75],"positioning":[76],"plate.":[79],"study":[81],"presented":[82],"deep":[84],"learning-based":[85],"vehicle":[86,104],"classifier":[87,99],"localize":[89],"plates":[91],"and":[92,154,169],"numbers.":[93],"Instead":[94],"bounding":[96],"rectangles,":[97],"outputs":[100],"determining":[101],"quadrilaterals":[102],"number":[105,167],"estimate":[106,168],"with":[107,117],"localization.":[110,172],"suggested":[112],"DCNN":[113,140,146,160],"model":[114,147],"training":[115,133],"began":[116],"an":[118,151],"initial":[119],"weight":[120],"that":[121],"had":[122],"been":[123],"trained":[124],"without":[125],"classification":[127,163],"head,":[128],"resulting":[129],"total":[132],"iteration":[134],"roughly":[136],"9000":[137],"model,":[141],"including":[142],"transfer":[143],"learning.":[144],"could":[148],"start":[149],"at":[150],"intelligent":[152],"point":[153],"optimize":[155],"all":[156],"functional":[157],"heads.":[158],"obtained":[161],"97.5%":[162],"accuracy":[164],"\"vehicle":[166]},"counts_by_year":[],"updated_date":"2026-09-22T17:25:34.749102","created_date":"2025-11-15T00:00:00"}
