{"id":"https://openalex.org/W4214583987","doi":"https://doi.org/10.1145/3488933.3489008","title":"Research on Text Recognition Method of Financial Documents","display_name":"Research on Text Recognition Method of Financial Documents","publication_year":2021,"publication_date":"2021-09-24","ids":{"openalex":"https://openalex.org/W4214583987","doi":"https://doi.org/10.1145/3488933.3489008"},"language":"en","primary_location":{"id":"doi:10.1145/3488933.3489008","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488933.3489008","pdf_url":null,"source":{"id":"https://openalex.org/S4363608564","display_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","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/A5035450334","display_name":"Meng Caixi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Caixi Meng","raw_affiliation_strings":["Xi'an University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047199627","display_name":"Yongchao Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongchao Shi","raw_affiliation_strings":["Xi'an University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035450334"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30511031,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"266","last_page":"272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14155","display_name":"Advanced Technology in Applications","score":0.9659000039100647,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14155","display_name":"Advanced Technology in Applications","score":0.9659000039100647,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9621000289916992,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9355000257492065,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8517496585845947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5373472571372986},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5339820384979248},{"id":"https://openalex.org/keywords/connectionism","display_name":"Connectionism","score":0.5232081413269043},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5205339193344116},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.500962495803833},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.48515161871910095},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47052088379859924},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44122010469436646},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.41047194600105286},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3907485008239746},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3608587384223938},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3585989475250244}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8517496585845947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5373472571372986},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5339820384979248},{"id":"https://openalex.org/C8521452","wikidata":"https://www.wikidata.org/wiki/Q203790","display_name":"Connectionism","level":3,"score":0.5232081413269043},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5205339193344116},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.500962495803833},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.48515161871910095},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47052088379859924},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44122010469436646},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.41047194600105286},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3907485008239746},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3608587384223938},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3585989475250244},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3488933.3489008","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488933.3489008","pdf_url":null,"source":{"id":"https://openalex.org/S4363608564","display_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2559655401","https://openalex.org/W2626696598","https://openalex.org/W2903972532","https://openalex.org/W3118608800","https://openalex.org/W4299354289","https://openalex.org/W6600937397"],"related_works":["https://openalex.org/W4205841273","https://openalex.org/W4205525690","https://openalex.org/W1761388607","https://openalex.org/W1997922073","https://openalex.org/W350032239","https://openalex.org/W2604685715","https://openalex.org/W2412160900","https://openalex.org/W2136453575","https://openalex.org/W1596913645","https://openalex.org/W1024498263"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,13,19,36,42,47,52,55,62,66,70,73,80,85,120,125,131,139,154,160,170,181],"problems":[3],"of":[4,15,69,72,105,122,127,133,138,184],"text":[5,10,95,102,155],"box":[6],"overlap":[7],"and":[8,45,99,129,157,162,188],"missing":[9],"content":[11],"in":[12,18,22,61,173,180],"recognition":[14,103,158,182,186],"financial":[16],"documents":[17],"Detecting":[20],"Text":[21,27],"Natural":[23],"Image":[24],"with":[25,79],"Connectionist":[26],"Proposal":[28],"Network(CTPN)":[29],"model,":[30],"it":[31],"is":[32,59],"proposed":[33],"to":[34,64,146],"improve":[35],"CTPN":[37,81],"network":[38,44,87,112],"structure":[39],"based":[40],"on":[41,94],"Inception":[43],"optimize":[46,65],"feature":[48,117],"extraction":[49],"process.":[50],"At":[51],"same":[53],"time,":[54],"confidence":[56],"loss":[57,151],"function":[58,152],"introduced":[60],"classification":[63],"candidates.":[67],"Selection":[68],"position":[71],"frame":[74],"anchor.":[75],"A":[76],"comparative":[77],"experiment":[78],"model":[82,88,104,171],"proves":[83],"that":[84,169],"improved":[86],"has":[89,176],"a":[90,101,114,177],"certain":[91,178],"improvement":[92,179],"effect":[93],"target":[96],"detection.":[97],"Created":[98],"implemented":[100],"DenseNet+Bi-directional":[106],"Long":[107],"Short-Term":[108],"Memory(BLSTM)+CTC.":[109],"The":[110,149],"DenseNet":[111],"establishes":[113],"connection":[115],"between":[116],"maps,":[118],"achieves":[119],"reuse":[121],"features,":[123],"reduces":[124,130],"amount":[126,132],"parameters,":[128],"calculations":[134],"for":[135],"each":[136],"layer":[137],"network.":[140],"BLSTM":[141],"can":[142],"associate":[143],"contextual":[144],"information":[145],"assist":[147],"prediction.":[148],"CTC":[150],"solves":[153],"prediction":[156],"when":[159],"input":[161],"output":[163],"are":[164],"not":[165],"aligned.":[166],"Experiments":[167],"show":[168],"designed":[172],"this":[174],"paper":[175],"performance":[183],"traditional":[185],"systems":[187],"CRNN":[189],"models.":[190]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}