{"id":"https://openalex.org/W4392445462","doi":"https://doi.org/10.1145/3616901.3616904","title":"Text Recognition Based on Weakly Supervised Learning","display_name":"Text Recognition Based on Weakly Supervised Learning","publication_year":2023,"publication_date":"2023-04-14","ids":{"openalex":"https://openalex.org/W4392445462","doi":"https://doi.org/10.1145/3616901.3616904"},"language":"en","primary_location":{"id":"doi:10.1145/3616901.3616904","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3616901.3616904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Frontiers of Artificial Intelligence and Machine Learning","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/A5113133643","display_name":"Ai Guo Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ai Guo Chen","raw_affiliation_strings":["School of Artificial Intelligence and Compute, Jiangnan University, Wuxi, China, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Compute, Jiangnan University, Wuxi, China, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066833672","display_name":"Ming Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Jie Zou","raw_affiliation_strings":["School of Artificial Intelligence and Compute, Jiangnan University, Wuxi, China, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Compute, Jiangnan University, Wuxi, China, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101587087","display_name":"Xiang Yu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Yu Zhang","raw_affiliation_strings":["School of Artificial Intelligence and Compute, Jiangnan University, Wuxi, China, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Compute, Jiangnan University, Wuxi, China, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113133643"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20774849,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9947999715805054,"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":0.9855999946594238,"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":0.7769062519073486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.620892345905304},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5609334111213684},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4623362720012665},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.45396387577056885},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4401164948940277},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4321158230304718},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.42038509249687195},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.4179847240447998},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41392335295677185},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3865979015827179},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35103121399879456},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.09002208709716797}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7769062519073486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.620892345905304},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5609334111213684},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4623362720012665},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.45396387577056885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4401164948940277},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4321158230304718},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.42038509249687195},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.4179847240447998},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41392335295677185},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3865979015827179},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35103121399879456},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.09002208709716797},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3616901.3616904","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3616901.3616904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Frontiers of Artificial Intelligence and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1971822075","https://openalex.org/W1981276685","https://openalex.org/W1981283549","https://openalex.org/W2194187530","https://openalex.org/W2746791238","https://openalex.org/W3181186176"],"related_works":["https://openalex.org/W2382997850","https://openalex.org/W2390968135","https://openalex.org/W2382213751","https://openalex.org/W2351750670","https://openalex.org/W1597848696","https://openalex.org/W2354715126","https://openalex.org/W2388563748","https://openalex.org/W2375179084","https://openalex.org/W2366646518","https://openalex.org/W2370906336"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,44,49,52,61,66,72,75,82,87,91,95,99,103,110,113,117,127,135,147,150],"problems":[3],"of":[4,98,130,137,149],"irregular":[5,45],"text":[6,10,17,46,138],"region":[7,47],"and":[8,37,57,65,70,85,102,133],"fuzzy":[9],"in":[11,112,123],"picture,":[12],"this":[13,124],"paper":[14],"proposes":[15],"a":[16],"recognition":[18],"method":[19,26,125],"based":[20,28],"on":[21,29,141],"weakly":[22],"supervised":[23],"learning.":[24],"The":[25,40,120],"is":[27],"explicit":[30],"rectify":[31],"module,":[32,34],"vision":[33,41,53,92,100],"language":[35,76,104,121],"module":[36,42,54,77,101,105,122],"fusion":[38,114],"module.":[39,115],"corrects":[43,86],"through":[48,60,81],"correction":[50],"module;":[51,93],"extracts":[55],"features":[56],"recognizes":[58],"them":[59],"convolution":[62],"neural":[63],"network":[64],"location":[67],"attention":[68,83],"mechanism,":[69],"outputs":[71],"predicted":[73,88],"strings;":[74],"learns":[78],"sequence":[79],"information":[80],"mechanism":[84],"strings":[89],"by":[90],"finally,":[94],"output":[96],"results":[97],"are":[106],"combined":[107],"according":[108],"to":[109],"weight":[111],"Get":[116],"final":[118],"prediction.":[119],"prevents":[126],"direct":[128],"interference":[129],"image":[131],"blur":[132],"enhances":[134],"accuracy":[136],"recognition,":[139],"experiments":[140],"several":[142],"common":[143],"data":[144],"sets":[145],"demonstrate":[146],"effectiveness":[148],"proposed":[151],"method.":[152]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}