{"id":"https://openalex.org/W3126209855","doi":"https://doi.org/10.1109/isocc50952.2020.9333064","title":"A Case Study on Rubbing Character Recognition Based on Deep Learning","display_name":"A Case Study on Rubbing Character Recognition Based on Deep Learning","publication_year":2020,"publication_date":"2020-10-21","ids":{"openalex":"https://openalex.org/W3126209855","doi":"https://doi.org/10.1109/isocc50952.2020.9333064","mag":"3126209855"},"language":"en","primary_location":{"id":"doi:10.1109/isocc50952.2020.9333064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isocc50952.2020.9333064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International SoC Design Conference (ISOCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5073127273","display_name":"Zelin Meng","orcid":"https://orcid.org/0000-0001-8865-6351"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zelin Meng","raw_affiliation_strings":["Graduate School of Science and Engineering, Ritsumeikan University, Kusatsu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Ritsumeikan University, Kusatsu, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100442940","display_name":"Zhiyu Zhang","orcid":"https://orcid.org/0000-0001-7423-8351"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhiyu Zhang","raw_affiliation_strings":["Graduate School of Science and Engineering, Ritsumeikan University, Kusatsu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Ritsumeikan University, Kusatsu, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076579498","display_name":"Lin Meng","orcid":"https://orcid.org/0000-0003-4351-6923"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Lin Meng","raw_affiliation_strings":["Graduate School of Science and Engineering, Ritsumeikan University, Kusatsu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Ritsumeikan University, Kusatsu, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000257232","display_name":"Hiroyuki Tomiyama","orcid":"https://orcid.org/0000-0003-1655-7877"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Tomiyama","raw_affiliation_strings":["Graduate School of Science and Engineering, Ritsumeikan University, Kusatsu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Ritsumeikan University, Kusatsu, Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135768898"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"318","last_page":"319"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9965999722480774,"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":0.9965999722480774,"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":0.9883999824523926,"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":0.9842000007629395,"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/rubbing","display_name":"Rubbing","score":0.9310324192047119},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.7413683533668518},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7387555837631226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7174638509750366},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6947358250617981},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6681809425354004},{"id":"https://openalex.org/keywords/mainstream","display_name":"Mainstream","score":0.6420406699180603},{"id":"https://openalex.org/keywords/character-recognition","display_name":"Character recognition","score":0.6148489117622375},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5317318439483643},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.430433988571167},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34335118532180786},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33079856634140015},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16390222311019897},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05402129888534546}],"concepts":[{"id":"https://openalex.org/C2777673350","wikidata":"https://www.wikidata.org/wiki/Q7375860","display_name":"Rubbing","level":2,"score":0.9310324192047119},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.7413683533668518},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7387555837631226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7174638509750366},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6947358250617981},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6681809425354004},{"id":"https://openalex.org/C2777617010","wikidata":"https://www.wikidata.org/wiki/Q18957","display_name":"Mainstream","level":2,"score":0.6420406699180603},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.6148489117622375},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5317318439483643},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.430433988571167},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34335118532180786},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33079856634140015},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16390222311019897},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05402129888534546},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isocc50952.2020.9333064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isocc50952.2020.9333064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International SoC Design Conference (ISOCC)","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":9,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2052408227","https://openalex.org/W2097117768","https://openalex.org/W2117228865","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2531409750","https://openalex.org/W2612445135","https://openalex.org/W2963446712"],"related_works":["https://openalex.org/W2073289894","https://openalex.org/W3118902034","https://openalex.org/W2979494388","https://openalex.org/W4377865163","https://openalex.org/W3193857078","https://openalex.org/W2888956734","https://openalex.org/W3000197790","https://openalex.org/W4315865067","https://openalex.org/W2979433843","https://openalex.org/W3208304128"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"case":[4],"study":[5],"which":[6],"explored":[7],"the":[8,20,32,35,46,50,56],"classification":[9,47],"performance":[10,48],"of":[11,34,40,49],"rubbing":[12,36],"characters":[13],"by":[14],"utilizing":[15],"deep":[16,25],"neural":[17,26,52],"networks.":[18],"In":[19],"evaluation":[21],"experiments,":[22],"several":[23],"mainstream":[24],"networks":[27,53],"are":[28],"employed":[29],"to":[30,44],"realize":[31],"recognition":[33],"characters.":[37],"The":[38],"purpose":[39],"this":[41],"work":[42],"is":[43],"examine":[45],"prevalent":[51],"and":[54],"collect":[55],"necessary":[57],"information":[58],"for":[59],"our":[60],"future":[61],"works.":[62]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
