{"id":"https://openalex.org/W4391984435","doi":"https://doi.org/10.3233/jifs-234170","title":"A text extraction framework of financial report in traditional format with OpenCV","display_name":"A text extraction framework of financial report in traditional format with OpenCV","publication_year":2024,"publication_date":"2024-02-20","ids":{"openalex":"https://openalex.org/W4391984435","doi":"https://doi.org/10.3233/jifs-234170"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-234170","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-234170","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-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/A5101376711","display_name":"Jiaxin Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiaxin Wei","raw_affiliation_strings":["Department of Finance and Commerce, Qinghai Higher Vocational and Technical Institute, Haidong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Finance and Commerce, Qinghai Higher Vocational and Technical Institute, Haidong, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102751824","display_name":"Jin Yang","orcid":"https://orcid.org/0000-0002-3633-3670"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jin Yang","raw_affiliation_strings":["Office of Academic Research, Qinghai Higher Vocational and Technical Institute, Haidong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Office of Academic Research, Qinghai Higher Vocational and Technical Institute, Haidong, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100625902","display_name":"Xinyang Liu","orcid":"https://orcid.org/0000-0002-5827-7729"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinyang Liu","raw_affiliation_strings":["Department of Finance and Commerce, Qinghai Higher Vocational and Technical Institute, Haidong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Finance and Commerce, Qinghai Higher Vocational and Technical Institute, Haidong, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102751824"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6731,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67040591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"46","issue":"4","first_page":"8089","last_page":"8108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14319","display_name":"Currency Recognition and Detection","score":0.9057000279426575,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9057000279426575,"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/automatic-summarization","display_name":"Automatic summarization","score":0.8243893384933472},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7294583916664124},{"id":"https://openalex.org/keywords/paragraph","display_name":"Paragraph","score":0.6132193207740784},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5888568162918091},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.541504979133606},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4239903688430786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40048715472221375},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.35915669798851013},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22891345620155334}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8243893384933472},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7294583916664124},{"id":"https://openalex.org/C2777206241","wikidata":"https://www.wikidata.org/wiki/Q194431","display_name":"Paragraph","level":2,"score":0.6132193207740784},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5888568162918091},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.541504979133606},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4239903688430786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40048715472221375},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.35915669798851013},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22891345620155334},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-234170","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-234170","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2077606434","https://openalex.org/W2080143318","https://openalex.org/W2514465121","https://openalex.org/W2619629516","https://openalex.org/W2753526104","https://openalex.org/W2791957585","https://openalex.org/W2886764478","https://openalex.org/W2890847761","https://openalex.org/W2896536965","https://openalex.org/W3120256989","https://openalex.org/W3129408940","https://openalex.org/W3193884101","https://openalex.org/W3198403669","https://openalex.org/W4210576841","https://openalex.org/W4249158993","https://openalex.org/W4312984783","https://openalex.org/W6847734732"],"related_works":["https://openalex.org/W2377059580","https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W4306886878","https://openalex.org/W2003578783"],"abstract_inverted_index":{"Due":[0],"to":[1,64,120],"intensified":[2],"off-balance":[3],"sheet":[4],"disclosure":[5],"by":[6],"regulatory":[7],"authorities,":[8],"financial":[9,20,28,34,46,78],"reports":[10,29,47,79],"now":[11],"contain":[12],"a":[13,38,138,167],"substantial":[14],"amount":[15],"of":[16,25,32,45,83,97,127,148,155],"information":[17,62,65,70],"beyond":[18],"the":[19,23,33,81,84,94,124,128,134,145,153],"statements.":[21,35],"Consequently,":[22],"length":[24],"footnotes":[26],"in":[27,48,160],"exceeds":[30],"that":[31,143],"This":[36,89,157],"poses":[37],"novel":[39],"challenge":[40],"for":[41,106],"regulators":[42],"and":[43,69,74,101,150],"users":[44],"efficiently":[49],"managing":[50],"this":[51,131],"information.":[52],"Financial":[53],"reports,":[54],"with":[55,137],"their":[56],"clear":[57],"structure,":[58],"encompass":[59],"abundant":[60],"structured":[61],"applicable":[63],"extraction,":[66],"automatic":[67],"summarization,":[68],"retrieval.":[71],"Extracting":[72],"headings":[73,122],"paragraph":[75],"content":[76],"from":[77,123],"enables":[80],"acquisition":[82],"annual":[85,98],"report":[86,99],"text\u2019s":[87],"framework.":[88,171],"paper":[90,132],"focuses":[91],"on":[92],"extracting":[93],"structural":[95],"framework":[96,108,163],"texts":[100],"introduces":[102],"an":[103,161],"OpenCV-based":[104],"method":[105,115,136,142],"text":[107,170],"extraction":[109,141,164],"using":[110],"computer":[111],"vision.":[112],"The":[113],"proposed":[114,135],"employs":[116],"morphological":[117],"image":[118],"dilation":[119],"distinguish":[121],"main":[125],"body":[126],"text.":[129],"Moreover,":[130],"combines":[133],"traditional,":[139],"rule-based":[140],"exploits":[144],"characteristic":[146],"features":[147],"numbers":[149],"symbols":[151],"at":[152],"beginning":[154],"headings.":[156],"combination":[158],"results":[159],"optimized":[162],"method,":[165],"producing":[166],"more":[168],"concise":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}