{"id":"https://openalex.org/W2920124529","doi":"https://doi.org/10.1109/access.2019.2901943","title":"Template Matching-Based Method for Intelligent Invoice Information Identification","display_name":"Template Matching-Based Method for Intelligent Invoice Information Identification","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2920124529","doi":"https://doi.org/10.1109/access.2019.2901943","mag":"2920124529"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2901943","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2901943","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08653814.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":null,"license_id":null,"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/ielx7/6287639/8600701/08653814.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021052319","display_name":"Yingyi Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingyi Sun","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083830500","display_name":"Xianfeng Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianfeng Mao","raw_affiliation_strings":["Department of Scientific Research and Development, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Scientific Research and Development, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101913211","display_name":"Sheng Hong","orcid":"https://orcid.org/0000-0002-4201-2005"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Hong","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101988391","display_name":"Wenhua Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhua Xu","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027367677","display_name":"Guan Gui","orcid":"https://orcid.org/0000-0003-3888-2881"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guan Gui","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-3888-2881","affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5021052319"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.6946,"has_fulltext":true,"cited_by_count":66,"citation_normalized_percentile":{"value":0.95934767,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"28392","last_page":"28401"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14319","display_name":"Currency Recognition and Detection","score":0.23849999904632568,"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":0.23849999904632568,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.10670000314712524,"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":0.0649000033736229,"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/computer-science","display_name":"Computer science","score":0.8047127723693848},{"id":"https://openalex.org/keywords/invoice","display_name":"Invoice","score":0.723549485206604},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.6637547016143799},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6377193927764893},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6015540361404419},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5908311009407043},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5845933556556702},{"id":"https://openalex.org/keywords/backup","display_name":"Backup","score":0.5275007486343384},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47084376215934753},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.4551127552986145},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.45131587982177734},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.44858574867248535},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40739741921424866},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3781222105026245},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37466180324554443},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12533000111579895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10351279377937317},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08680537343025208}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8047127723693848},{"id":"https://openalex.org/C2781456945","wikidata":"https://www.wikidata.org/wiki/Q190581","display_name":"Invoice","level":2,"score":0.723549485206604},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.6637547016143799},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6377193927764893},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6015540361404419},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5908311009407043},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5845933556556702},{"id":"https://openalex.org/C2780945871","wikidata":"https://www.wikidata.org/wiki/Q194274","display_name":"Backup","level":2,"score":0.5275007486343384},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47084376215934753},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.4551127552986145},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.45131587982177734},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.44858574867248535},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40739741921424866},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3781222105026245},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37466180324554443},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12533000111579895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10351279377937317},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08680537343025208},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2901943","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2901943","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08653814.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2065a49f07c24dd8a195d79051b93b31","is_oa":true,"landing_page_url":"https://doaj.org/article/2065a49f07c24dd8a195d79051b93b31","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 7, Pp 28392-28401 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2901943","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2901943","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08653814.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G2797348676","display_name":null,"funder_award_id":"61701258","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3341018123","display_name":null,"funder_award_id":"RK002STP16001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4859168213","display_name":null,"funder_award_id":"CZ0010617002","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"},{"id":"https://openalex.org/F4320327518","display_name":"Priority Academic Program Development of Jiangsu Higher Education Institutions","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2920124529.pdf","grobid_xml":"https://content.openalex.org/works/W2920124529.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1914179642","https://openalex.org/W2080097011","https://openalex.org/W2080142539","https://openalex.org/W2102605133","https://openalex.org/W2129871083","https://openalex.org/W2131092027","https://openalex.org/W2157890044","https://openalex.org/W2164447236","https://openalex.org/W2190982124","https://openalex.org/W2358876993","https://openalex.org/W2483537292","https://openalex.org/W2512351403","https://openalex.org/W2547284267","https://openalex.org/W2547950870","https://openalex.org/W2563367938","https://openalex.org/W2608776069","https://openalex.org/W2740690936","https://openalex.org/W2773117238","https://openalex.org/W2789607890","https://openalex.org/W2808769300","https://openalex.org/W2810871807","https://openalex.org/W2892860079","https://openalex.org/W2900028034","https://openalex.org/W2902418758","https://openalex.org/W2902897529","https://openalex.org/W2903552454","https://openalex.org/W2910803895","https://openalex.org/W2963996300","https://openalex.org/W3105650387","https://openalex.org/W6721721314","https://openalex.org/W6786212804"],"related_works":["https://openalex.org/W2955195711","https://openalex.org/W2354454611","https://openalex.org/W2993266126","https://openalex.org/W2392283887","https://openalex.org/W2351388597","https://openalex.org/W2939925694","https://openalex.org/W2829881200","https://openalex.org/W2184647741","https://openalex.org/W1974217798","https://openalex.org/W137535787"],"abstract_inverted_index":{"The":[0,50,96,118,132],"increasing":[1],"use":[2,127],"of":[3,72,90,152,159],"invoicing":[4],"has":[5],"created":[6],"an":[7,43],"unnecessary":[8],"burden":[9],"on":[10,30],"labor":[11],"and":[12,47,66,125,154],"material":[13],"resources":[14],"in":[15,76,128],"the":[16,35,59,70,73,77,88,91,104,111,129,137,145,155],"financial":[17],"sector.":[18],"This":[19],"paper":[20],"proposes":[21],"a":[22,149],"method":[23,138],"to":[24,57,102],"intelligently":[25],"identify":[26],"invoice":[27,52,93],"information":[28,37,48,62,75,94,106,113,120],"based":[29],"template":[31,41,84],"matching,":[32,42,85],"which":[33,86],"retrieves":[34],"required":[36,74],"by":[38,63,83],"image":[39,53,80,105],"preprocessing,":[40],"optical":[44,97],"character":[45,98],"recognizing,":[46],"exporting.":[49],"origin":[51],"is":[54,81,87,100,121,144],"preprocessed":[55],"first":[56],"remove":[58],"useless":[60],"background":[61],"secondary":[64],"rotation":[65],"edge":[67],"cutting.":[68],"Then,":[69],"region":[71],"obtained":[78],"regular":[79],"extracted":[82,112],"core":[89],"intelligent":[92],"identification.":[95],"recognizing":[99],"utilized":[101],"convert":[103],"into":[107],"text":[108,119],"so":[109],"that":[110,136],"can":[114],"be":[115],"directly":[116],"used.":[117],"exported":[122],"for":[123],"backup":[124],"subsequent":[126],"last":[130],"step.":[131],"experimental":[133],"results":[134],"indicate":[135],"using":[139],"normalized":[140],"correlation":[141],"coefficient":[142],"matching":[143],"best":[146],"choice,":[147],"demonstrating":[148],"high":[150],"accuracy":[151],"95%,":[153],"average":[156],"running":[157],"time":[158],"14":[160],"milliseconds.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":7}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
