{"id":"https://openalex.org/W4415708216","doi":"https://doi.org/10.1109/icme59968.2025.11209559","title":"Enhancing Handwritten Mathematical Expression Recognition with Structure and Counting Aware Network","display_name":"Enhancing Handwritten Mathematical Expression Recognition with Structure and Counting Aware Network","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708216","doi":"https://doi.org/10.1109/icme59968.2025.11209559"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","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":null,"display_name":"Shiqi Mou","orcid":null},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shiqi Mou","raw_affiliation_strings":["Yunnan Normal University,Key Laboratory of Educational Informatization for Nationalities, Ministry of Education,Kunming,China"],"affiliations":[{"raw_affiliation_string":"Yunnan Normal University,Key Laboratory of Educational Informatization for Nationalities, Ministry of Education,Kunming,China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100736217","display_name":"Zijie Li","orcid":"https://orcid.org/0009-0008-5211-9536"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijie Li","raw_affiliation_strings":["Yunnan Normal University,Key Laboratory of Educational Informatization for Nationalities, Ministry of Education,Kunming,China"],"affiliations":[{"raw_affiliation_string":"Yunnan Normal University,Key Laboratory of Educational Informatization for Nationalities, Ministry of Education,Kunming,China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009856040","display_name":"Juxiang Zhou","orcid":"https://orcid.org/0000-0003-2693-2204"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juxiang Zhou","raw_affiliation_strings":["Yunnan Normal University,Key Laboratory of Educational Informatization for Nationalities, Ministry of Education,Kunming,China"],"affiliations":[{"raw_affiliation_string":"Yunnan Normal University,Key Laboratory of Educational Informatization for Nationalities, Ministry of Education,Kunming,China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384767","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-5890-0365"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["Yunnan Normal University,Key Laboratory of Educational Informatization for Nationalities, Ministry of Education,Kunming,China"],"affiliations":[{"raw_affiliation_string":"Yunnan Normal University,Key Laboratory of Educational Informatization for Nationalities, Ministry of Education,Kunming,China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084677085","display_name":"Jianhou Gan","orcid":"https://orcid.org/0000-0002-1287-857X"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhou Gan","raw_affiliation_strings":["Yunnan Normal University,Key Laboratory of Educational Informatization for Nationalities, Ministry of Education,Kunming,China"],"affiliations":[{"raw_affiliation_string":"Yunnan Normal University,Key Laboratory of Educational Informatization for Nationalities, Ministry of Education,Kunming,China","institution_ids":["https://openalex.org/I120825670"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I120825670"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30313515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.958299994468689,"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":0.958299994468689,"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/T10028","display_name":"Topic Modeling","score":0.003800000064074993,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.003599999938160181,"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/expression","display_name":"Expression (computer science)","score":0.5795000195503235},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4966000020503998},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4828999936580658},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.4336000084877014},{"id":"https://openalex.org/keywords/character-recognition","display_name":"Character recognition","score":0.4156000018119812},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.40549999475479126},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.37929999828338623},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3711000084877014}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7836999893188477},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5795000195503235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5658000111579895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4966000020503998},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4828999936580658},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.4336000084877014},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.4156000018119812},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.40549999475479126},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.37929999828338623},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3711000084877014},{"id":"https://openalex.org/C93058836","wikidata":"https://www.wikidata.org/wiki/Q1453572","display_name":"Chain code","level":3,"score":0.3118000030517578},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2773999869823456},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2766999900341034},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C2988224531","wikidata":"https://www.wikidata.org/wiki/Q20830730","display_name":"Network structure","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2696000039577484},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2680000066757202},{"id":"https://openalex.org/C87868495","wikidata":"https://www.wikidata.org/wiki/Q750843","display_name":"Information processing","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2623860192","https://openalex.org/W2905413777","https://openalex.org/W2963446712","https://openalex.org/W2963637207","https://openalex.org/W3002575754","https://openalex.org/W3004196288","https://openalex.org/W3110178865","https://openalex.org/W3201757274","https://openalex.org/W4200635795","https://openalex.org/W4289752563","https://openalex.org/W4312299669","https://openalex.org/W4312868947","https://openalex.org/W4313125865","https://openalex.org/W4385245566","https://openalex.org/W4386107357","https://openalex.org/W4389523906","https://openalex.org/W4402343071","https://openalex.org/W4402959365","https://openalex.org/W4402961917","https://openalex.org/W4402979705"],"related_works":[],"abstract_inverted_index":{"The":[0,140],"encoder-decoder":[1,50],"architecture":[2],"has":[3],"been":[4],"widely":[5],"adopted":[6],"by":[7],"many":[8],"handwritten":[9],"mathematical":[10],"expression":[11,128],"recognition":[12,129],"(HMER)":[13],"models.":[14],"However,":[15],"these":[16],"methods":[17],"may":[18],"struggle":[19],"to":[20,31,60,81,109],"accurately":[21],"recognize":[22],"expressions":[23,87],"with":[24,101],"complex":[25],"structures":[26],"or":[27],"long":[28],"sequences":[29],"due":[30],"the":[32,49,53,73,83,89,102,106,111,120,133],"lack":[33],"of":[34,86,92,97,127],"global":[35,62],"information":[36,63,98],"utilization.":[37],"To":[38],"address":[39],"this":[40],"issue,":[41],"we":[42,71],"propose":[43],"a":[44],"novel":[45],"network":[46],"based":[47],"on":[48,132],"framework,":[51],"called":[52],"Structure":[54],"and":[55,65,76,88,136],"Counting":[56,78],"Aware":[57],"Network":[58],"(SCAN),":[59],"enable":[61],"awareness":[64],"achieve":[66],"more":[67],"precise":[68],"recognition.":[69],"Specifically,":[70],"introduce":[72],"Skeleton":[74],"Shaping":[75],"Character":[77],"Module":[79],"(SSCCM)":[80],"extract":[82],"skeleton":[84],"structure":[85],"frequency":[90],"distribution":[91],"characters.":[93],"These":[94],"two":[95],"types":[96],"are":[99],"integrated":[100],"decoder":[103],"output":[104],"in":[105,125],"calibration":[107],"module":[108],"refine":[110],"predictions.":[112],"Experimental":[113],"results":[114],"demonstrate":[115],"that":[116],"SCAN":[117],"significantly":[118],"outperforms":[119],"existing":[121],"state-of-the-art":[122],"(SOTA)":[123],"models":[124],"terms":[126],"rate":[130],"(ExpRate)":[131],"CROHME":[134],"2014/2016/2019":[135],"HME100K":[137],"test":[138],"sets.":[139],"code":[141],"is":[142],"publicly":[143],"available":[144],"at":[145],"https://github.com/Kerston12138/SCAN.":[146]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-30T00:00:00"}