{"id":"https://openalex.org/W4416724909","doi":"https://doi.org/10.1145/3762249.3762265","title":"Research on the construction of automatic invoice identification model based on deep learning","display_name":"Research on the construction of automatic invoice identification model based on deep learning","publication_year":2025,"publication_date":"2025-06-27","ids":{"openalex":"https://openalex.org/W4416724909","doi":"https://doi.org/10.1145/3762249.3762265"},"language":"en","primary_location":{"id":"doi:10.1145/3762249.3762265","doi":"https://doi.org/10.1145/3762249.3762265","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3762249.3762265","pdf_url":null,"source":{"id":"https://openalex.org/S7407097265","display_name":"International Conference on Digital Economy, Blockchain and Artificial Intelligence (DEBAI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 2nd International Conference on Digital Economy, Blockchain and Artificial Intelligence","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3762249.3762265","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100572720","display_name":"Binglan Meng","orcid":"https://orcid.org/0009-0007-9625-808X","observed_orcids":["https://orcid.org/0009-0007-9625-808X"]},"institutions":[{"id":"https://openalex.org/I4405279822","display_name":"Dalian University of Finance and Economics","ror":"https://ror.org/022a2hc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405279822"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Binglan Meng","raw_affiliation_strings":["Dalian University of Finance and Economics, Dalian, Liaoning, China"],"raw_orcid":"https://orcid.org/0009-0007-9625-808X","affiliations":[{"raw_affiliation_string":"Dalian University of Finance and Economics, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I4405279822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100572720"],"corresponding_institution_ids":["https://openalex.org/I4405279822"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"89","last_page":"95"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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":0.0007999999797903001,"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/T10036","display_name":"Advanced Neural Network Applications","score":9.999999747378752e-05,"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/bidirectional-lstm","display_name":"bidirectional LSTM","score":0.7979999780654907},{"id":"https://openalex.org/keywords/conditional-random-fields","display_name":"conditional random fields","score":0.9559999704360962},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.7919999957084656},{"id":"https://openalex.org/keywords/location-coding","display_name":"location coding","score":0.7749999761581421},{"id":"https://openalex.org/keywords/multiscale-feature-extraction","display_name":"multi-scale feature extraction","score":0.996999979019165},{"id":"https://openalex.org/keywords/interference-resistance","display_name":"interference resistance","score":0.7059999704360962}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6909999847412109},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6654000282287598},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.661300003528595},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5871999859809875},{"id":"https://openalex.org/C2781456945","wikidata":"https://www.wikidata.org/wiki/Q190581","display_name":"Invoice","level":2,"score":0.5228999853134155},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.522599995136261},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.4684999883174896},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44519999623298645},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43540000915527344},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4129999876022339},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4034999907016754},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3968000113964081},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.3869999945163727},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.3587000072002411},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.35040000081062317},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31369999051094055},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3111000061035156},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.28369998931884766},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2619999945163727},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3762249.3762265","doi":"https://doi.org/10.1145/3762249.3762265","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3762249.3762265","pdf_url":null,"source":{"id":"https://openalex.org/S7407097265","display_name":"International Conference on Digital Economy, Blockchain and Artificial Intelligence (DEBAI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 2nd International Conference on Digital Economy, Blockchain and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3762249.3762265","doi":"https://doi.org/10.1145/3762249.3762265","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3762249.3762265","pdf_url":null,"source":{"id":"https://openalex.org/S7407097265","display_name":"International Conference on Digital Economy, Blockchain and Artificial Intelligence (DEBAI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 2nd International Conference on Digital Economy, Blockchain and Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W4386165048","https://openalex.org/W4406147413","https://openalex.org/W4407040796","https://openalex.org/W4407601905","https://openalex.org/W4408938026"],"related_works":["https://openalex.org/W4391476657","https://openalex.org/W4386165048","https://openalex.org/W3157736971","https://openalex.org/W3212557710","https://openalex.org/W7143454043","https://openalex.org/W4210660646","https://openalex.org/W4380087175","https://openalex.org/W7164147263","https://openalex.org/W7170149057","https://openalex.org/W4319431837"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2],"improve":[3],"the":[4,69,87,101,104,123],"recognition":[5,22,84],"accuracy":[6,102,119],"and":[7,16,33,37,47,58,74,97,100,142],"robustness":[8,143],"of":[9,44,50,79,86,103,116,120,136],"multi-class":[10],"invoice":[11,67,80],"images":[12],"under":[13],"structural":[14],"complexity":[15],"interference":[17],"conditions,":[18],"an":[19],"end-to-end":[20],"automatic":[21],"model":[23,88],"is":[24,52,72,111,129],"constructed":[25,73],"by":[26,54],"integrating":[27],"convolutional":[28],"neural":[29],"network,":[30],"bidirectional":[31],"long":[32],"short-term":[34],"memory":[35],"network":[36],"conditional":[38],"random":[39],"field.":[40],"The":[41,82,118],"joint":[42],"modeling":[43],"spatial":[45],"relationship":[46],"semantic":[48],"structure":[49],"characters":[51],"realized":[53],"introducing":[55],"location":[56],"coding":[57],"multi-scale":[59],"feature":[60],"extraction":[61],"mechanism.":[62],"Based":[63],"on":[64,76,89],"48,000":[65],"multi-source":[66],"images,":[68],"training":[70],"set":[71],"validated":[75],"three":[77],"types":[78],"samples.":[81],"average":[83],"rates":[85],"structured":[90],"fields":[91],"are":[92],"98.28%":[93],"(electronic),":[94],"97.94%":[95],"(general)":[96],"96.76%":[98],"(special),":[99],"semi-structured":[105,124],"field":[106,125],"\u201camount\u201d":[107,121],"reaches":[108,126],"98.4%,":[109,127],"which":[110,128],"6.3%":[112],"higher":[113,133],"than":[114,134],"that":[115,135],"CNN.":[117],"in":[122],"6.3":[130],"percentage":[131],"points":[132],"CNN,":[137],"showing":[138],"strong":[139],"generalization":[140],"ability":[141],"against":[144],"interference.":[145]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2025-11-28T00:00:00"}