{"id":"https://openalex.org/W2919230598","doi":"https://doi.org/10.1109/tencon.2018.8650097","title":"Detection of Fonts and Characters with Hybrid Graphic-Text Plate Numbers","display_name":"Detection of Fonts and Characters with Hybrid Graphic-Text Plate Numbers","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2919230598","doi":"https://doi.org/10.1109/tencon.2018.8650097","mag":"2919230598"},"language":"en","primary_location":{"id":"doi:10.1109/tencon.2018.8650097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2018.8650097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2018 - 2018 IEEE Region 10 Conference","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/A5066137642","display_name":"Allysa Kate M. Brillantes","orcid":null},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Allysa Kate M. Brillantes","raw_affiliation_strings":["Electronics and Communications Enginnering Department, De La Salle University, Manila, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Communications Enginnering Department, De La Salle University, Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084335648","display_name":"Argel A. Bandala","orcid":"https://orcid.org/0000-0002-3568-4858"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Argel A. Bandala","raw_affiliation_strings":["Electronics and Communications Enginnering Department, De La Salle University, Manila, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Communications Enginnering Department, De La Salle University, Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027440897","display_name":"Elmer P. Dadios","orcid":"https://orcid.org/0000-0002-5751-389X"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Elmer P. Dadios","raw_affiliation_strings":["Electronics and Communications Enginnering Department, De La Salle University, Manila, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Communications Enginnering Department, De La Salle University, Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017907414","display_name":"John Anthony C. Jose","orcid":"https://orcid.org/0000-0002-5876-8018"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"John Anthony Jose","raw_affiliation_strings":["Electronics and Communications Enginnering Department, De La Salle University, Manila, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Communications Enginnering Department, De La Salle University, Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0918,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.89750882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"3","issue":null,"first_page":"0629","last_page":"0633"},"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":0.963699996471405,"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":0.7853339910507202},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.7365349531173706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7074828147888184},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6968054175376892},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6649651527404785},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6391285061836243},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.5842736959457397},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5500636100769043},{"id":"https://openalex.org/keywords/connected-component-labeling","display_name":"Connected-component labeling","score":0.5350953340530396},{"id":"https://openalex.org/keywords/character-recognition","display_name":"Character recognition","score":0.5100148916244507},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49220553040504456},{"id":"https://openalex.org/keywords/connected-component","display_name":"Connected component","score":0.4847418963909149},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4821298122406006},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47733598947525024},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4748701751232147},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4305473566055298},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.270028293132782},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.13772517442703247},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1313333809375763}],"concepts":[{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.7853339910507202},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.7365349531173706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7074828147888184},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6968054175376892},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6649651527404785},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6391285061836243},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.5842736959457397},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5500636100769043},{"id":"https://openalex.org/C58737948","wikidata":"https://www.wikidata.org/wiki/Q3136397","display_name":"Connected-component labeling","level":5,"score":0.5350953340530396},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.5100148916244507},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49220553040504456},{"id":"https://openalex.org/C193435613","wikidata":"https://www.wikidata.org/wiki/Q2997928","display_name":"Connected component","level":2,"score":0.4847418963909149},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4821298122406006},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47733598947525024},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4748701751232147},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4305473566055298},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.270028293132782},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.13772517442703247},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1313333809375763},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon.2018.8650097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2018.8650097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2018 - 2018 IEEE Region 10 Conference","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":27,"referenced_works":["https://openalex.org/W1824100020","https://openalex.org/W1978623084","https://openalex.org/W1982995293","https://openalex.org/W2015596074","https://openalex.org/W2020570837","https://openalex.org/W2033849769","https://openalex.org/W2097074808","https://openalex.org/W2102608210","https://openalex.org/W2187176778","https://openalex.org/W2187452955","https://openalex.org/W2199664134","https://openalex.org/W2283396323","https://openalex.org/W2315636498","https://openalex.org/W2324000936","https://openalex.org/W2508224586","https://openalex.org/W2554940076","https://openalex.org/W2586104482","https://openalex.org/W2586139886","https://openalex.org/W2586229474","https://openalex.org/W2586726840","https://openalex.org/W2587114662","https://openalex.org/W2587548346","https://openalex.org/W2748854270","https://openalex.org/W2767049268","https://openalex.org/W2782749975","https://openalex.org/W4233257157","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1568952724","https://openalex.org/W1568383588","https://openalex.org/W2129389683","https://openalex.org/W179947483","https://openalex.org/W2606438808","https://openalex.org/W1980767234","https://openalex.org/W2378232816","https://openalex.org/W4312612713","https://openalex.org/W2170080636","https://openalex.org/W2051072213"],"abstract_inverted_index":{"Philippine":[0,31],"license":[1,32,39,102],"plates":[2,103],"have":[3],"different":[4,28],"plate":[5,12,40,48,92,96],"styles":[6],"and":[7,44,70,74,87,94],"character":[8,13,42,45],"fonts":[9],"making":[10],"the":[11,21,58,90],"recognition":[14],"challenging.":[15],"This":[16],"paper":[17],"focuses":[18],"on":[19],"improving":[20],"segmentation":[22,43],"method":[23],"to":[24],"recognize":[25],"characters":[26,61],"of":[27,30,38,55,85],"formats":[29],"plates.":[33],"The":[34,80],"proposed":[35],"system":[36,81],"comprises":[37],"classification,":[41],"recognition.":[46],"License":[47],"series":[49,93],"was":[50],"classified":[51],"using":[52,64,77],"color":[53],"level":[54],"pixels":[56],"in":[57],"image.":[59],"Plate":[60],"were":[62,75],"segmented":[63],"3-Class":[65],"Fuzzy":[66],"Clustering":[67],"with":[68],"Thresholding":[69],"Connected":[71],"Component":[72],"Analysis":[73],"recognized":[76],"Template":[78],"Matching.":[79],"achieved":[82],"an":[83],"accuracy":[84],"95%":[86],"70%":[88],"for":[89],"2003":[91],"2014":[95],"series,":[97],"respectively,":[98],"having":[99],"tested":[100],"20":[101],"from":[104],"each":[105],"series.":[106]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}