{"id":"https://openalex.org/W3003307646","doi":"https://doi.org/10.1117/12.2558271","title":"Synthetic dataset generation for text recognition with generative adversarial networks","display_name":"Synthetic dataset generation for text recognition with generative adversarial networks","publication_year":2020,"publication_date":"2020-01-31","ids":{"openalex":"https://openalex.org/W3003307646","doi":"https://doi.org/10.1117/12.2558271","mag":"3003307646"},"language":"en","primary_location":{"id":"doi:10.1117/12.2558271","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2558271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twelfth International Conference on Machine Vision (ICMV 2019)","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/A5025704136","display_name":"Valeria Efimova","orcid":"https://orcid.org/0000-0002-5309-2207"},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Valeria Efimova","raw_affiliation_strings":["ITMO Univ. (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"ITMO Univ. (Russian Federation)","institution_ids":["https://openalex.org/I173089394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114150473","display_name":"Viacheslav Shalamov","orcid":null},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Viacheslav Shalamov","raw_affiliation_strings":["ITMO Univ. (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"ITMO Univ. (Russian Federation)","institution_ids":["https://openalex.org/I173089394"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112028318","display_name":"Andrey Filchenkov","orcid":null},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Andrey Filchenkov","raw_affiliation_strings":["ITMO Univ. (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"ITMO Univ. (Russian Federation)","institution_ids":["https://openalex.org/I173089394"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025704136"],"corresponding_institution_ids":["https://openalex.org/I173089394"],"apc_list":null,"apc_paid":null,"fwci":0.4885,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.64184647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.989799976348877,"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":0.989799976348877,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9815999865531921,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9495000243186951,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/adversarial-system","display_name":"Adversarial system","score":0.7498347759246826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7345862984657288},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.709577202796936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6088718175888062},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5266594290733337},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5014269351959229},{"id":"https://openalex.org/keywords/text-generation","display_name":"Text generation","score":0.4555891156196594},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.16228482127189636}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7498347759246826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7345862984657288},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.709577202796936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6088718175888062},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5266594290733337},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5014269351959229},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.4555891156196594},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.16228482127189636}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2558271","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2558271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twelfth International Conference on Machine Vision (ICMV 2019)","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":0,"referenced_works":[],"related_works":["https://openalex.org/W11223206","https://openalex.org/W3313028","https://openalex.org/W7933008","https://openalex.org/W13618705","https://openalex.org/W13893439","https://openalex.org/W9190101","https://openalex.org/W5688477","https://openalex.org/W3347106","https://openalex.org/W2864082","https://openalex.org/W4615079"],"abstract_inverted_index":{"Automated":[0],"text":[1,23,29,87,107,122],"recognition":[2,30,88],"is":[3,34,73,100],"used":[4],"in":[5],"autonomous":[6],"driving":[7],"systems,":[8],"search":[9],"engines,":[10],"document":[11],"analysis,":[12],"and":[13,63,105,120,133,157],"many":[14,19],"other":[15],"applications.":[16],"There":[17],"are":[18],"techniques":[20],"to":[21,56,67,102],"extract":[22],"information":[24],"from":[25,31],"scanned":[26],"documents,":[27],"but":[28,48],"arbitrary":[32,90],"images":[33],"a":[35,51,69,94,148],"much":[36],"harder":[37],"task.":[38],"Recently":[39],"suggested":[40],"deep":[41,70],"learning":[42,71],"approaches":[43],"have":[44],"demonstrated":[45],"highquality":[46],"results,":[47],"they":[49],"require":[50],"huge":[52],"amount":[53],"of":[54,61,136,144,150],"data":[55,66],"achieve":[57],"them.":[58],"The":[59,139],"process":[60],"collecting":[62],"labelling":[64],"training":[65],"train":[68],"network":[72,97],"costly.":[74],"In":[75],"this":[76],"paper,":[77],"we":[78],"suggest":[79],"an":[80],"approach":[81,117],"for":[82,86,89,155],"automatic":[83],"dataset":[84,154],"generation":[85],"languages.":[91,159],"We":[92,114],"use":[93],"generative":[95],"adversarial":[96],"structure,":[98],"which":[99,125],"adapted":[101],"generate":[103],"readable":[104],"clear":[106],"looking":[108],"naturally":[109],"on":[110,128,147],"the":[111,142,151],"image":[112],"background.":[113],"evaluate":[115],"our":[116,137,145],"using":[118],"SegLink":[119],"Textboxes++":[121],"localization":[123],"models,":[124],"were":[126],"trained":[127],"examples":[129],"generated":[130],"by":[131,134],"SynthText":[132],"variations":[135],"method.":[138],"comparison":[140],"showed":[141],"superiority":[143],"method":[146],"subset":[149],"ICDAR":[152],"2017":[153],"English":[156],"Arabic":[158]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
