{"id":"https://openalex.org/W3027864680","doi":"https://doi.org/10.1109/cis-ram47153.2019.9095854","title":"A Novel Procedure for Font Recognition through Deep Learning","display_name":"A Novel Procedure for Font Recognition through Deep Learning","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3027864680","doi":"https://doi.org/10.1109/cis-ram47153.2019.9095854","mag":"3027864680"},"language":"en","primary_location":{"id":"doi:10.1109/cis-ram47153.2019.9095854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cis-ram47153.2019.9095854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM)","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/A5080836807","display_name":"Saeedeh Zia","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Saeedeh Zia","raw_affiliation_strings":["Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112875986","display_name":"Jonathan Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jonathan Pan","raw_affiliation_strings":["Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080836807"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.20734766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"18","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998000264167786,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9972000122070312,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9916999936103821,"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/font","display_name":"Font","score":0.9833225607872009},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8040908575057983},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.7050201892852783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6952160000801086},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6896059513092041},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5600538849830627},{"id":"https://openalex.org/keywords/character-recognition","display_name":"Character recognition","score":0.5436917543411255},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4690086543560028},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.44963452219963074},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4429127275943756},{"id":"https://openalex.org/keywords/neocognitron","display_name":"Neocognitron","score":0.4106411039829254},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21476811170578003}],"concepts":[{"id":"https://openalex.org/C2777737414","wikidata":"https://www.wikidata.org/wiki/Q4868296","display_name":"Font","level":2,"score":0.9833225607872009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8040908575057983},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.7050201892852783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6952160000801086},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6896059513092041},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5600538849830627},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.5436917543411255},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4690086543560028},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.44963452219963074},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4429127275943756},{"id":"https://openalex.org/C121144440","wikidata":"https://www.wikidata.org/wiki/Q669754","display_name":"Neocognitron","level":4,"score":0.4106411039829254},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21476811170578003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cis-ram47153.2019.9095854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cis-ram47153.2019.9095854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6200000047683716,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2022707996","https://openalex.org/W2028571532","https://openalex.org/W2079479194","https://openalex.org/W2096238640","https://openalex.org/W2122145500","https://openalex.org/W2156332201","https://openalex.org/W2158358200","https://openalex.org/W2404161323","https://openalex.org/W2810672851","https://openalex.org/W2888794217","https://openalex.org/W2905012706","https://openalex.org/W2913790763","https://openalex.org/W2949981691","https://openalex.org/W2962772269","https://openalex.org/W2963015650"],"related_works":["https://openalex.org/W4312612713","https://openalex.org/W2165550102","https://openalex.org/W4353032729","https://openalex.org/W2042634493","https://openalex.org/W2728450881","https://openalex.org/W2100798736","https://openalex.org/W2481236784","https://openalex.org/W4214885350","https://openalex.org/W4383748232","https://openalex.org/W4399528997"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,67,78],"novel":[4,16],"font":[5,25,33,47,55,73],"recognition":[6,17,65],"system,":[7],"which":[8],"works":[9],"through":[10,27],"deep":[11],"learning":[12],"is":[13,19,35,43],"introduced.":[14],"This":[15],"procedure":[18],"based":[20],"on":[21],"letter":[22,24,64],"by":[23],"classification":[26],"Convolutional":[28],"Neural":[29],"Networks":[30],"(CNN).":[31],"The":[32],"that":[34],"statistically":[36],"recognized":[37,72],"more":[38],"frequently":[39],"than":[40],"the":[41,46,49,54,62,71,83],"others":[42],"reported":[44],"as":[45,77],"of":[48,56,85],"entire":[50],"studied":[51],"text.":[52],"Knowing":[53],"an":[57],"image":[58],"document":[59],"can":[60,74],"enhance":[61,82],"initial":[63],"in":[66],"feedback":[68],"loop.":[69],"Alternatively,":[70],"be":[75],"used":[76],"prior":[79],"knowledge,":[80],"to":[81],"performance":[84],"another":[86],"Optical":[87],"Character":[88],"Recognition":[89],"(OCR)":[90],"system.":[91]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}