{"id":"https://openalex.org/W2979537333","doi":"https://doi.org/10.23919/sice.2019.8860070","title":"Deep Learning based Ancient Literature Recognition and Preservation","display_name":"Deep Learning based Ancient Literature Recognition and Preservation","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2979537333","doi":"https://doi.org/10.23919/sice.2019.8860070","mag":"2979537333"},"language":"en","primary_location":{"id":"doi:10.23919/sice.2019.8860070","is_oa":false,"landing_page_url":"https://doi.org/10.23919/sice.2019.8860070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","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/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":true,"raw_author_name":"Lin Meng","raw_affiliation_strings":["Department of Electronic and Computer Engineering, Ritsumeikan University, Shiga, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, Ritsumeikan University, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003966234","display_name":"Naoto Kamitoku","orcid":null},"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":"Naoto Kamitoku","raw_affiliation_strings":["Department of Electronic and Computer Engineering, Ritsumeikan University, Shiga, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, Ritsumeikan University, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112114135","display_name":"Xiangbo Kong","orcid":"https://orcid.org/0000-0002-4289-3172"},"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":"Xiangbo Kong","raw_affiliation_strings":["Department of Electronic and Computer Engineering, Ritsumeikan University, Shiga, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, Ritsumeikan University, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113872286","display_name":"Katsuhiro Yamazaki","orcid":null},"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":"Katsuhiro Yamazaki","raw_affiliation_strings":["Department of Electronic and Computer Engineering, Ritsumeikan University, Shiga, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, Ritsumeikan University, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076579498"],"corresponding_institution_ids":["https://openalex.org/I135768898"],"apc_list":null,"apc_paid":null,"fwci":0.3067,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.61391477,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"473","last_page":"476"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9970999956130981,"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":0.9970999956130981,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9970999956130981,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9937999844551086,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7518826723098755},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6850600242614746},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6735019087791443},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6164229512214661},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.4645983874797821},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.4524690806865692},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.43828433752059937},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43338489532470703},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4253217577934265},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08041396737098694}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7518826723098755},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6850600242614746},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6735019087791443},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6164229512214661},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.4645983874797821},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.4524690806865692},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.43828433752059937},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43338489532470703},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4253217577934265},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08041396737098694},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/sice.2019.8860070","is_oa":false,"landing_page_url":"https://doi.org/10.23919/sice.2019.8860070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","raw_type":"proceedings-article"},{"id":"pmh:oai:irdb.nii.ac.jp:01038:0006909218","is_oa":false,"landing_page_url":"https://ritsumei.repo.nii.ac.jp/records/2003690","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 58TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE)","raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2163605009","https://openalex.org/W2618530766","https://openalex.org/W2761765950","https://openalex.org/W2796347433","https://openalex.org/W3106250896","https://openalex.org/W4293584584","https://openalex.org/W6637373629","https://openalex.org/W6750227808","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2073713056","https://openalex.org/W3110702597","https://openalex.org/W2387055199","https://openalex.org/W2313061941","https://openalex.org/W2078761926","https://openalex.org/W2110441383","https://openalex.org/W2125620709","https://openalex.org/W1498872724","https://openalex.org/W2588661485","https://openalex.org/W1953485902"],"abstract_inverted_index":{"This":[0,34],"paper":[1,35],"introduces":[2],"an":[3],"deep":[4,16],"learning":[5],"based":[6],"ancient":[7,32,55,88],"literature":[8],"recognition":[9,40,143],"method":[10],"for":[11,27],"culture":[12],"heritage":[13],"preservation":[14],"by":[15,144],"learning.":[17],"The":[18,64],"model":[19],"of":[20,41,49,82,102,125,142],"Single":[21,83,110],"Shot":[22,84,111],"Multibox":[23,85,112],"Detector":[24,86,113],"is":[25,46],"used":[26,57],"detecting":[28],"and":[29,52,71,75,78,129,131,137],"recognizing":[30],"the":[31,39,47,50,80,93,100,109,123,134],"characters.":[33],"only":[36],"focuses":[37],"on":[38],"Oracle":[42],"Bone":[43],"Inscriptions":[44],"which":[45],"one":[48],"oldest":[51],"most":[53],"mysterious":[54],"characters,":[56,108],"about":[58],"3000":[59],"years":[60],"ago":[61],"in":[62,87,99,133],"china.":[63],"experimental":[65,94],"results":[66],"show":[67],"that":[68,98],"Precision":[69],"achieves":[70,73],"Recall":[72],"0.86":[74],"0.97,":[76],"respectively,":[77],"prove":[79],"effectiveness":[81],"characters":[89],"recognition.":[90],"By":[91],"analyzing":[92],"results,":[95],"we":[96,121],"found":[97],"case":[101],"heavy":[103],"blurred":[104],"image":[105],"or":[106],"tilted":[107],"can":[114],"not":[115],"achieve":[116,139],"a":[117],"exciting":[118],"results.":[119],"Hence,":[120],"apply":[122],"pre-processing":[124],"binarization,":[126],"changing":[127],"brightness":[128],"contrast,":[130],"rotation":[132],"test":[135],"images,":[136],"then":[138],"accuracy":[140],"improvement":[141],"using":[145],"pre-processed":[146],"images.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
