{"id":"https://openalex.org/W4401168173","doi":"https://doi.org/10.1145/3674225.3674304","title":"Research on Dot-Matrix Text Recognition Based on Depthwise Separable Convolution and Transformer","display_name":"Research on Dot-Matrix Text Recognition Based on Depthwise Separable Convolution and Transformer","publication_year":2024,"publication_date":"2024-01-19","ids":{"openalex":"https://openalex.org/W4401168173","doi":"https://doi.org/10.1145/3674225.3674304"},"language":"en","primary_location":{"id":"doi:10.1145/3674225.3674304","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674225.3674304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Power Electronics and Artificial Intelligence","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/A5104332191","display_name":"Liuyang Bian","orcid":"https://orcid.org/0000-0001-5423-4089"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liuyang Bian","raw_affiliation_strings":["Institutes of Physical Science and Information Technology, Anhui University, China"],"raw_orcid":"https://orcid.org/0000-0001-5423-4089","affiliations":[{"raw_affiliation_string":"Institutes of Physical Science and Information Technology, Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004449189","display_name":"Xuan Huang","orcid":"https://orcid.org/0000-0001-5747-3341"},"institutions":[{"id":"https://openalex.org/I4210135175","display_name":"Hefei Institute of Technology Innovation","ror":"https://ror.org/044wmmj34","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210135175"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Huang","raw_affiliation_strings":["CAS (Hefei) Institute of Technology Innovation Engineering, Hefei Institute of Physical Science, Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0000-0001-5747-3341","affiliations":[{"raw_affiliation_string":"CAS (Hefei) Institute of Technology Innovation Engineering, Hefei Institute of Physical Science, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210135175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103653034","display_name":"Hu Wei","orcid":"https://orcid.org/0009-0005-8937-239X"},"institutions":[{"id":"https://openalex.org/I4210135175","display_name":"Hefei Institute of Technology Innovation","ror":"https://ror.org/044wmmj34","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210135175"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Wei","raw_affiliation_strings":["CAS (Hefei) Institute of Technology Innovation Engineering, Hefei Institute of Physical Science, Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0009-0005-8937-239X","affiliations":[{"raw_affiliation_string":"CAS (Hefei) Institute of Technology Innovation Engineering, Hefei Institute of Physical Science, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210135175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109725543","display_name":"Zilu Guo","orcid":"https://orcid.org/0009-0000-9011-1756"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zilu Guo","raw_affiliation_strings":["Institutes of Physical Science and Information Technology, Anhui University, China"],"raw_orcid":"https://orcid.org/0009-0000-9011-1756","affiliations":[{"raw_affiliation_string":"Institutes of Physical Science and Information Technology, Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102617416","display_name":"Tianheng Qiu","orcid":"https://orcid.org/0009-0005-6793-7628"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianheng Qiu","raw_affiliation_strings":["University of Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0009-0005-6793-7628","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"443","last_page":"448"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9930999875068665,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9854999780654907,"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/separable-space","display_name":"Separable space","score":0.6196776032447815},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6052320599555969},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.49300262331962585},{"id":"https://openalex.org/keywords/matrix-algebra","display_name":"Matrix algebra","score":0.48221123218536377},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4366312026977539},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4243046045303345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40510761737823486},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38622844219207764},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3409234881401062},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.22729644179344177},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21980196237564087},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1722051501274109},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.17077741026878357},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.12648683786392212},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1261971890926361},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11378708481788635},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.10012587904930115},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.09192392230033875}],"concepts":[{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.6196776032447815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6052320599555969},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.49300262331962585},{"id":"https://openalex.org/C2988995629","wikidata":"https://www.wikidata.org/wiki/Q2915729","display_name":"Matrix algebra","level":3,"score":0.48221123218536377},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4366312026977539},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4243046045303345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40510761737823486},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38622844219207764},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3409234881401062},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.22729644179344177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21980196237564087},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1722051501274109},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.17077741026878357},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.12648683786392212},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1261971890926361},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11378708481788635},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.10012587904930115},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.09192392230033875},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3674225.3674304","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674225.3674304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Power Electronics and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2884585870","https://openalex.org/W2963351448","https://openalex.org/W3138516171","https://openalex.org/W3181186176"],"related_works":["https://openalex.org/W2009525028","https://openalex.org/W4321064619","https://openalex.org/W2076561698","https://openalex.org/W2530952058","https://openalex.org/W2582836483","https://openalex.org/W4299366318","https://openalex.org/W3158431807","https://openalex.org/W4297580547","https://openalex.org/W2951583185","https://openalex.org/W4308155352"],"abstract_inverted_index":{"In":[0],"addressing":[1],"the":[2,51,62,73,78,93,100,104,118,124,130,145,151],"challenges":[3],"of":[4,64,67,126,140],"low":[5],"precision":[6,135],"and":[7,33,50,84,136],"poor":[8],"real-time":[9],"performance":[10],"in":[11],"dot-matrix":[12,24,68,87,146,155],"text":[13,25,88,147,156],"recognition":[14,26,110,157],"within":[15],"industrial":[16,159],"automation":[17],"production":[18],"environments,":[19],"we":[20,36,71,97],"propose":[21],"a":[22,38,133,137],"DOTREC":[23],"network":[27],"based":[28,76],"on":[29,77,117,144],"Depthwise":[30,47],"Separable":[31,48],"Convolution":[32,49],"Transformer.":[34],"Firstly,":[35],"construct":[37],"lightweight":[39],"feature":[40,82],"extraction":[41],"network,":[42],"DS-CBAM":[43],"module,":[44],"by":[45,92],"integrating":[46],"CBAM.":[52],"This":[53],"integration":[54],"aims":[55],"to":[56,80,108],"reduce":[57],"model":[58,131],"complexity":[59],"while":[60],"facilitating":[61],"learning":[63,83],"detailed":[65],"features":[66],"text.":[69],"Secondly,":[70],"design":[72],"SMD-Block":[74],"module":[75,107],"Transformer":[79],"enhance":[81],"representation":[85],"for":[86,112,154],"images.":[89],"Finally,":[90],"inspired":[91],"Focal":[94],"Loss":[95,106],"concept,":[96],"further":[98],"refine":[99],"CTC":[101],"Loss,":[102],"introducing":[103],"F-CTC":[105],"improve":[109],"capability":[111],"challenging":[113],"samples.":[114],"Experimental":[115],"validation":[116],"public":[119],"dataset":[120,148],"ICDAR":[121],"2015":[122],"demonstrates":[123],"effectiveness":[125],"this":[127],"model.":[128],"Additionally,":[129],"achieves":[132],"96.3%":[134],"frame":[138,143],"rate":[139],"5.7ms":[141],"per":[142],"DOTBAG,":[149],"meeting":[150],"efficiency":[152],"requirements":[153],"under":[158],"settings.":[160]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}