{"id":"https://openalex.org/W3089741097","doi":"https://doi.org/10.1109/access.2020.3027019","title":"A Novel Semantic Segmentation Model for Chinese Characters","display_name":"A Novel Semantic Segmentation Model for Chinese Characters","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3089741097","doi":"https://doi.org/10.1109/access.2020.3027019","mag":"3089741097"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3027019","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3027019","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09206578.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09206578.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074947981","display_name":"Zhenyu Gao","orcid":"https://orcid.org/0000-0002-9687-2027"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Gao","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-9687-2027","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100642607","display_name":"Jin Liu","orcid":"https://orcid.org/0000-0001-7249-698X"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Liu","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7249-698X","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087219146","display_name":"Yiyao Li","orcid":"https://orcid.org/0009-0008-2271-7631"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyao Li","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051611729","display_name":"Yihe Yang","orcid":"https://orcid.org/0000-0001-6563-3579"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihe Yang","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005312852","display_name":"Huihua He","orcid":"https://orcid.org/0000-0003-4628-7425"},"institutions":[{"id":"https://openalex.org/I21945476","display_name":"Shanghai Normal University","ror":"https://ror.org/01cxqmw89","country_code":"CN","type":"education","lineage":["https://openalex.org/I21945476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huihua He","raw_affiliation_strings":["College of Education, Shanghai Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4628-7425","affiliations":[{"raw_affiliation_string":"College of Education, Shanghai Normal University, Shanghai, China","institution_ids":["https://openalex.org/I21945476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1917,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49519666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"179083","last_page":"179093"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9966999888420105,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9957000017166138,"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/computer-science","display_name":"Computer science","score":0.8266667127609253},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.7926107048988342},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7565269470214844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7175377011299133},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6903378963470459},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6871157884597778},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6508747935295105},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6039856672286987},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4903571605682373},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.431222528219223},{"id":"https://openalex.org/keywords/chinese-characters","display_name":"Chinese characters","score":0.4220588803291321},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07306438684463501}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8266667127609253},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.7926107048988342},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7565269470214844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7175377011299133},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6903378963470459},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6871157884597778},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6508747935295105},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6039856672286987},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4903571605682373},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.431222528219223},{"id":"https://openalex.org/C2781051154","wikidata":"https://www.wikidata.org/wiki/Q8201","display_name":"Chinese characters","level":2,"score":0.4220588803291321},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07306438684463501},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3027019","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3027019","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09206578.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:eee0d8ced84d4e2ebae2effea099e68f","is_oa":true,"landing_page_url":"https://doaj.org/article/eee0d8ced84d4e2ebae2effea099e68f","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,"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":"IEEE Access, Vol 8, Pp 179083-179093 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3027019","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3027019","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09206578.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3330730477","display_name":"\u57fa\u4e8e\u591a\u6a21\u6001\u6570\u636e\u878d\u5408\u5904\u7406\u7684\u590d\u6742\u80cc\u666f\u4e2d\u7684\u6587\u5b57\u68c0\u6d4b\u4e0e\u8bc6\u522b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61872231","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G697074666","display_name":null,"funder_award_id":"61701297","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3089741097.pdf","grobid_xml":"https://content.openalex.org/works/W3089741097.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1849277567","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W1963975344","https://openalex.org/W1997142260","https://openalex.org/W2004132137","https://openalex.org/W2009955943","https://openalex.org/W2029189646","https://openalex.org/W2030943647","https://openalex.org/W2036278884","https://openalex.org/W2048395523","https://openalex.org/W2052415595","https://openalex.org/W2073465796","https://openalex.org/W2095705004","https://openalex.org/W2096497661","https://openalex.org/W2097117768","https://openalex.org/W2100495367","https://openalex.org/W2102605133","https://openalex.org/W2108739450","https://openalex.org/W2110025586","https://openalex.org/W2116385609","https://openalex.org/W2119723957","https://openalex.org/W2124351162","https://openalex.org/W2124592697","https://openalex.org/W2131801066","https://openalex.org/W2135164809","https://openalex.org/W2148645152","https://openalex.org/W2152928267","https://openalex.org/W2154546746","https://openalex.org/W2156338447","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2301358467","https://openalex.org/W2315524965","https://openalex.org/W2412782625","https://openalex.org/W2575719014","https://openalex.org/W2613718673","https://openalex.org/W2781089965","https://openalex.org/W2805018179","https://openalex.org/W2806070179","https://openalex.org/W2919115771","https://openalex.org/W2963150697","https://openalex.org/W2963925710","https://openalex.org/W2971201090","https://openalex.org/W4248635988","https://openalex.org/W6620707391","https://openalex.org/W6639204139","https://openalex.org/W6639824700","https://openalex.org/W6640295612","https://openalex.org/W6674330103","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W4391621807","https://openalex.org/W2363102944","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391621790","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Character":[0],"segmentation":[1,51,100],"plays":[2],"an":[3],"important":[4],"role":[5],"in":[6,102,145],"optical":[7],"character":[8,84,92,118],"recognition":[9],"(OCR).":[10],"Due":[11],"to":[12,67,82,86,96,108],"the":[13,34,75,98,103,110,124,142,146,152],"limitations":[14],"of":[15,112],"feature":[16,113,119],"representation,":[17,114],"traditional":[18],"image":[19],"analyzing":[20],"based":[21,53],"methods":[22,143],"cannot":[23],"well":[24,122],"segment":[25],"characters":[26,36],"with":[27],"connected":[28],"or":[29],"broken":[30],"strokes,":[31],"especially":[32],"for":[33],"Chinese":[35],"which":[37,120],"usually":[38],"have":[39],"complex":[40],"structures.":[41],"To":[42],"solve":[43],"this":[44,46],"issue,":[45],"paper":[47],"proposes":[48],"a":[49,88,115],"novel":[50,116],"model":[52,61,154],"on":[54,135],"fully":[55],"convolutional":[56,64],"neural":[57,65],"networks":[58,66],"(FCN).":[59],"The":[60,130],"first":[62],"uses":[63],"extract":[68,83],"spatial":[69],"features,":[70],"then":[71],"shares":[72],"them":[73],"throughout":[74],"whole":[76],"model.":[77],"Two":[78],"FCNs":[79],"are":[80,94],"used":[81],"information":[85],"form":[87],"score":[89,104],"map.":[90,105],"Finally,":[91],"features":[93],"reused":[95],"adjust":[97],"accurate":[99],"points":[101],"What's":[106],"more,":[107],"strengthen":[109],"ability":[111],"compound":[117],"can":[121],"describe":[123],"characters'":[125],"outline":[126],"is":[127,133],"also":[128],"proposed.":[129],"proposed":[131,144,153],"method":[132],"validated":[134],"two":[136],"datasets:":[137],"GBSD":[138],"and":[139],"CASIA-HWDB-MT,":[140],"against":[141],"literature.":[147],"Experimental":[148],"results":[149],"show":[150],"that":[151],"outperforms":[155],"state-of-the-art":[156],"methods.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
