{"id":"https://openalex.org/W2783467022","doi":"https://doi.org/10.1109/ispacs.2017.8266464","title":"Handwritten numeral recognition using multi-task learning","display_name":"Handwritten numeral recognition using multi-task learning","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2783467022","doi":"https://doi.org/10.1109/ispacs.2017.8266464","mag":"2783467022"},"language":"en","primary_location":{"id":"doi:10.1109/ispacs.2017.8266464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2017.8266464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","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/A5063471459","display_name":"Jinhui Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Jinhui Hou","raw_affiliation_strings":["Department of Computer Science, The City University of Hong Kong, Hong Kong","School of Information Science and Engineering, Huaqiao University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"School of Information Science and Engineering, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035422552","display_name":"Huanqiang Zeng","orcid":"https://orcid.org/0000-0002-2802-7745"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanqiang Zeng","raw_affiliation_strings":["School of Information Science and Engineering, Huaqiao University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081396646","display_name":"Lei Cai","orcid":"https://orcid.org/0000-0003-4811-5854"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Cai","raw_affiliation_strings":["School of Information Science and Engineering, Huaqiao University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033119978","display_name":"Jianqing Zhu","orcid":"https://orcid.org/0000-0001-8840-3629"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqing Zhu","raw_affiliation_strings":["School of Engineering, Huaqiao University, Quanzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Huaqiao University, Quanzhou, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074063024","display_name":"Jiuwen Cao","orcid":"https://orcid.org/0000-0002-6480-5794"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiuwen Cao","raw_affiliation_strings":["Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031957432","display_name":"Junhui Hou","orcid":"https://orcid.org/0000-0003-3431-2021"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]},{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Junhui Hou","raw_affiliation_strings":["Department of Computer Science, The City University of Hong Kong, Hong Kong","School of Information Science and Engineering, Huaqiao University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"School of Information Science and Engineering, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5063471459"],"corresponding_institution_ids":["https://openalex.org/I119045251","https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":0.182,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.59424104,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":"25","issue":null,"first_page":"155","last_page":"158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9804999828338623,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/numeral-system","display_name":"Numeral system","score":0.9231969118118286},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7919579744338989},{"id":"https://openalex.org/keywords/nist","display_name":"NIST","score":0.7127008438110352},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.7047692537307739},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6638045310974121},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6465922594070435},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5893750190734863},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5715786218643188},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5433318614959717},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.4898800253868103},{"id":"https://openalex.org/keywords/digit-recognition","display_name":"Digit recognition","score":0.45087289810180664},{"id":"https://openalex.org/keywords/handwriting-recognition","display_name":"Handwriting recognition","score":0.4247400462627411},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3226180970668793},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.31423383951187134},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15815696120262146},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.059212327003479004}],"concepts":[{"id":"https://openalex.org/C204160518","wikidata":"https://www.wikidata.org/wiki/Q122653","display_name":"Numeral system","level":2,"score":0.9231969118118286},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7919579744338989},{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.7127008438110352},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.7047692537307739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6638045310974121},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6465922594070435},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5893750190734863},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5715786218643188},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5433318614959717},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.4898800253868103},{"id":"https://openalex.org/C2984784707","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Digit recognition","level":3,"score":0.45087289810180664},{"id":"https://openalex.org/C112640561","wikidata":"https://www.wikidata.org/wiki/Q2440634","display_name":"Handwriting recognition","level":3,"score":0.4247400462627411},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3226180970668793},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31423383951187134},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15815696120262146},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.059212327003479004},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispacs.2017.8266464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2017.8266464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W592963477","https://openalex.org/W1836465849","https://openalex.org/W1990217061","https://openalex.org/W2100495367","https://openalex.org/W2112796928","https://openalex.org/W2113120414","https://openalex.org/W2137664016","https://openalex.org/W2141125852","https://openalex.org/W2149270675","https://openalex.org/W2155893237","https://openalex.org/W2156163116","https://openalex.org/W2163605009","https://openalex.org/W2165644552","https://openalex.org/W2170393096","https://openalex.org/W2541573029","https://openalex.org/W2564203852","https://openalex.org/W2564734887","https://openalex.org/W2581504171","https://openalex.org/W2913340405","https://openalex.org/W2949117887","https://openalex.org/W6684191040","https://openalex.org/W6729163555"],"related_works":["https://openalex.org/W4319227030","https://openalex.org/W3009478205","https://openalex.org/W2564203852","https://openalex.org/W2911525106","https://openalex.org/W4386615253","https://openalex.org/W4383755781","https://openalex.org/W341625861","https://openalex.org/W3000371668","https://openalex.org/W4285815734","https://openalex.org/W3177693432"],"abstract_inverted_index":{"Handwritten":[0],"numeral":[1,61,84],"recognition":[2,62,68,85,104,122],"is":[3,63],"a":[4,42,102,126],"challenging":[5],"problem":[6],"due":[7],"to":[8,65],"large":[9],"variation":[10],"in":[11,21,36],"the":[12,22,29,32,37,46,67,87,91,109,114,121,141],"writing":[13,38],"styles":[14],"of":[15,24,34,48,76,129],"different":[16,25],"persons":[17],"and":[18,86,100,124],"high":[19],"similarity":[20],"contour":[23],"digits.":[26],"Based":[27],"on":[28,45,108,140],"observation":[30],"that":[31,113,137],"decision":[33],"scratchy/non-scratchy":[35,88],"style":[39],"could":[40],"play":[41],"complementary":[43],"role":[44],"classification":[47],"handwritten":[49,60,83],"numeral.":[50],"In":[51],"this":[52],"paper,":[53],"an":[54],"effective":[55],"multi-task":[56,72,116],"learning":[57,73],"network":[58,74,117],"for":[59],"proposed":[64,71,115],"enhance":[66],"performance.":[69,105],"The":[70],"consists":[75],"two":[77,92],"tasks,":[78],"which":[79,133],"can":[80,94,118],"simultaneously":[81],"learn":[82],"decision.":[89],"Furthermore,":[90],"tasks":[93],"promote":[95],"each":[96],"other":[97],"during":[98],"training":[99],"achieve":[101,125],"better":[103],"Extensive":[106],"experiments":[107,139],"MNIST":[110],"database":[111],"demonstrate":[112],"effectively":[119],"improve":[120],"accuracy":[123],"superior":[127],"performance":[128],"0.40%":[130],"error":[131],"rate,":[132],"outperforms":[134],"most":[135],"methods":[136],"take":[138],"M-NIST":[142],"database.":[143]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}