{"id":"https://openalex.org/W3128163124","doi":"https://doi.org/10.1145/3443467.3443847","title":"Bank card number recognition system based on deep learning","display_name":"Bank card number recognition system based on deep learning","publication_year":2020,"publication_date":"2020-11-06","ids":{"openalex":"https://openalex.org/W3128163124","doi":"https://doi.org/10.1145/3443467.3443847","mag":"3128163124"},"language":"en","primary_location":{"id":"doi:10.1145/3443467.3443847","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3443467.3443847","pdf_url":null,"source":{"id":"https://openalex.org/S4306523680","display_name":"Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering","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":"Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"},"type":"conference-paper","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/A5018339897","display_name":"Gege Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135483","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gege Sun","raw_affiliation_strings":["College of Information Engineering, Beijing Institute of Graphic Communication, Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Beijing Institute of Graphic Communication, Beijing China","institution_ids":["https://openalex.org/I4210135483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101937063","display_name":"Fucheng You","orcid":"https://orcid.org/0000-0001-7266-9406"},"institutions":[{"id":"https://openalex.org/I4210135483","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fucheng You","raw_affiliation_strings":["College of Information Engineering, Beijing Institute of Graphic Communication, Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Beijing Institute of Graphic Communication, Beijing China","institution_ids":["https://openalex.org/I4210135483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210135483"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"745","last_page":"749"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9860000014305115,"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/computer-science","display_name":"Computer science","score":0.7488428354263306},{"id":"https://openalex.org/keywords/atm-card","display_name":"ATM card","score":0.5663054585456848},{"id":"https://openalex.org/keywords/smart-card","display_name":"Smart card","score":0.500422477722168},{"id":"https://openalex.org/keywords/subscriber-identity-module","display_name":"Subscriber identity module","score":0.49303218722343445},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4623575806617737},{"id":"https://openalex.org/keywords/intelligent-character-recognition","display_name":"Intelligent character recognition","score":0.45441022515296936},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.4215499758720398},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3741069436073303},{"id":"https://openalex.org/keywords/character-recognition","display_name":"Character recognition","score":0.3647702932357788},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3353111147880554},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3302093744277954},{"id":"https://openalex.org/keywords/payment","display_name":"Payment","score":0.32050448656082153},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.13386815786361694},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06731066107749939}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7488428354263306},{"id":"https://openalex.org/C108087509","wikidata":"https://www.wikidata.org/wiki/Q1207171","display_name":"ATM card","level":3,"score":0.5663054585456848},{"id":"https://openalex.org/C110406131","wikidata":"https://www.wikidata.org/wiki/Q41349","display_name":"Smart card","level":2,"score":0.500422477722168},{"id":"https://openalex.org/C40367706","wikidata":"https://www.wikidata.org/wiki/Q230110","display_name":"Subscriber identity module","level":3,"score":0.49303218722343445},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4623575806617737},{"id":"https://openalex.org/C44868376","wikidata":"https://www.wikidata.org/wiki/Q3099089","display_name":"Intelligent character recognition","level":4,"score":0.45441022515296936},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.4215499758720398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3741069436073303},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.3647702932357788},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3353111147880554},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3302093744277954},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.32050448656082153},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13386815786361694},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06731066107749939},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C2779971919","wikidata":"https://www.wikidata.org/wiki/Q1378949","display_name":"Handset","level":2,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3443467.3443847","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3443467.3443847","pdf_url":null,"source":{"id":"https://openalex.org/S4306523680","display_name":"Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering","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":"Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering","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":2,"referenced_works":["https://openalex.org/W2000037265","https://openalex.org/W2065042463"],"related_works":["https://openalex.org/W4384296853","https://openalex.org/W4312612713","https://openalex.org/W2168844671","https://openalex.org/W954954433","https://openalex.org/W2188613573","https://openalex.org/W2218402054","https://openalex.org/W2085262576","https://openalex.org/W2943900795","https://openalex.org/W1762168263","https://openalex.org/W2902204561"],"abstract_inverted_index":{"With":[0],"the":[1,8,16,26,33,72,80,85,98,102,110,116,123,127],"widespread":[2],"application":[3],"of":[4,22,30,36,101,131],"mobile":[5],"payment,":[6],"identifying":[7],"bank":[9,17,23,52,132],"card":[10,18,24,43,53,62,81,133],"number":[11,44,54,63,134],"can":[12],"help":[13],"us":[14],"bind":[15],"quickly.":[19],"The":[20,118],"angle":[21],"shooting,":[25],"light":[27],"and":[28,32,67,83,89,129],"shade":[29],"light,":[31],"background":[34],"colour":[35],"cards":[37],"from":[38],"different":[39],"companies":[40],"will":[41],"affect":[42],"recognition":[45,55,66,91],"accuracy.":[46],"Therefore,":[47],"this":[48,96],"paper":[49],"designs":[50],"a":[51],"system,":[56],"which":[57],"mainly":[58,107],"includes":[59],"three":[60],"parts:":[61],"location,":[64],"character":[65,90],"GUI":[68,111],"interface":[69],"design.":[70],"Firstly,":[71],"improved":[73],"EAST":[74],"algorithm":[75,105],"is":[76,106,112],"proposed":[77],"to":[78,114],"locate":[79],"number,":[82],"then":[84],"neural":[86],"network":[87],"training":[88],"are":[92],"carried":[93],"out.":[94],"In":[95],"process,":[97],"CRNN-BLSTM-CTC":[99],"architecture":[100],"mainstream":[103],"OCR":[104],"used.":[108],"Finally,":[109],"used":[113],"demonstrate":[115],"results.":[117],"experimental":[119],"results":[120],"show":[121],"that":[122],"system":[124],"significantly":[125],"improves":[126],"accuracy":[128],"efficiency":[130],"recognition.":[135]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
