{"id":"https://openalex.org/W3093381234","doi":"https://doi.org/10.1109/tifs.2020.3033442","title":"Intrapersonal Parameter Optimization for Offline Handwritten Signature Augmentation","display_name":"Intrapersonal Parameter Optimization for Offline Handwritten Signature Augmentation","publication_year":2020,"publication_date":"2020-10-23","ids":{"openalex":"https://openalex.org/W3093381234","doi":"https://doi.org/10.1109/tifs.2020.3033442","mag":"3093381234"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2020.3033442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2020.3033442","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2010.06663","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060034565","display_name":"Teruo Matos Maruyama","orcid":"https://orcid.org/0000-0002-5173-0375"},"institutions":[{"id":"https://openalex.org/I52418104","display_name":"Universidade Federal do Paran\u00e1","ror":"https://ror.org/05syd6y78","country_code":"BR","type":"education","lineage":["https://openalex.org/I52418104"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Teruo M. Maruyama","raw_affiliation_strings":["Federal University of Paran\u00e1, Curitiba, Brazil","[dept. of Informatics, Federal University of Paran\u00e1, Curitiba, Brazil]"],"raw_orcid":"https://orcid.org/0000-0002-5173-0375","affiliations":[{"raw_affiliation_string":"Federal University of Paran\u00e1, Curitiba, Brazil","institution_ids":["https://openalex.org/I52418104"]},{"raw_affiliation_string":"[dept. of Informatics, Federal University of Paran\u00e1, Curitiba, Brazil]","institution_ids":["https://openalex.org/I52418104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038884704","display_name":"Luiz S. Oliveira","orcid":"https://orcid.org/0000-0002-0595-5370"},"institutions":[{"id":"https://openalex.org/I52418104","display_name":"Universidade Federal do Paran\u00e1","ror":"https://ror.org/05syd6y78","country_code":"BR","type":"education","lineage":["https://openalex.org/I52418104"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luiz S. Oliveira","raw_affiliation_strings":["Federal University of Paran\u00e1, Curitiba, Brazil","[dept. of Informatics, Federal University of Paran\u00e1, Curitiba, Brazil]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Paran\u00e1, Curitiba, Brazil","institution_ids":["https://openalex.org/I52418104"]},{"raw_affiliation_string":"[dept. of Informatics, Federal University of Paran\u00e1, Curitiba, Brazil]","institution_ids":["https://openalex.org/I52418104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112404986","display_name":"Alceu S. Britto","orcid":null},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alceu S. Britto","raw_affiliation_strings":["Programa de P\u00f3s-Gradua\u00e7\u00e3o em Inform\u00e1tica (PPGIa), Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1 (PUCPR), Curitiba, Brazil","Programa de P\u00f3s-Gradua\u00e7\u00e3o em Inform\u00e1tica- PPGIa, Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1 - PUCPR, Curitiba - Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Programa de P\u00f3s-Gradua\u00e7\u00e3o em Inform\u00e1tica (PPGIa), Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1 (PUCPR), Curitiba, Brazil","institution_ids":["https://openalex.org/I176838256"]},{"raw_affiliation_string":"Programa de P\u00f3s-Gradua\u00e7\u00e3o em Inform\u00e1tica- PPGIa, Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1 - PUCPR, Curitiba - Brazil","institution_ids":["https://openalex.org/I176838256"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026340083","display_name":"Robert Sabourin","orcid":"https://orcid.org/0000-0002-9098-1011"},"institutions":[{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]},{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Robert Sabourin","raw_affiliation_strings":["Laboratoire d\u2019imagerie, de vision et d\u2019intelligence artificielle, \u00c9cole de technologie sup\u00e9rieure, Universit\u00e9 du Qu\u00e9bec, Montreal, Canada","Laboratoire d\u2019imagerie, de vision et d\u2019intelligence artificielle Ecole de technologie sup\u00e9rieure, Universit\u00e9 du Qu\u00e9bec, Montr\u00e9al, Canada"],"raw_orcid":"https://orcid.org/0000-0002-9098-1011","affiliations":[{"raw_affiliation_string":"Laboratoire d\u2019imagerie, de vision et d\u2019intelligence artificielle, \u00c9cole de technologie sup\u00e9rieure, Universit\u00e9 du Qu\u00e9bec, Montreal, Canada","institution_ids":["https://openalex.org/I9736820","https://openalex.org/I159129438"]},{"raw_affiliation_string":"Laboratoire d\u2019imagerie, de vision et d\u2019intelligence artificielle Ecole de technologie sup\u00e9rieure, Universit\u00e9 du Qu\u00e9bec, Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I9736820","https://openalex.org/I159129438"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0979,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41644878,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"16","issue":null,"first_page":"1335","last_page":"1350"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9872000217437744,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.984499990940094,"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/computer-science","display_name":"Computer science","score":0.7164021134376526},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.669464647769928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6403751969337463},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.6202735304832458},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.590270459651947},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5747679471969604},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5129194259643555},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.49271252751350403},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4727115333080292},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46109214425086975},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4129420816898346},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32626432180404663},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1424962282180786}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7164021134376526},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.669464647769928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6403751969337463},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.6202735304832458},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.590270459651947},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5747679471969604},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5129194259643555},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.49271252751350403},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4727115333080292},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46109214425086975},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4129420816898346},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32626432180404663},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1424962282180786},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tifs.2020.3033442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2020.3033442","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2010.06663","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.06663","pdf_url":"https://arxiv.org/pdf/2010.06663","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3093381234","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2010.06663","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:espace2.etsmtl.ca:21877","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402392","display_name":"Espace \u00c9TS (ETS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1341030882","host_organization_name":"Educational Testing Service","host_organization_lineage":["https://openalex.org/I1341030882"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article publi\u00e9 dans une revue, r\u00e9vis\u00e9 par les pairs"},{"id":"doi:10.48550/arxiv.2010.06663","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2010.06663","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2010.06663","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.06663","pdf_url":"https://arxiv.org/pdf/2010.06663","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320319880","display_name":"Government of Canada","ror":"https://ror.org/010q4q527"},{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3093381234.pdf","grobid_xml":"https://content.openalex.org/works/W3093381234.grobid-xml"},"referenced_works_count":76,"referenced_works":["https://openalex.org/W1499649359","https://openalex.org/W1560006303","https://openalex.org/W1973720377","https://openalex.org/W1977894787","https://openalex.org/W1987971958","https://openalex.org/W1996523702","https://openalex.org/W2001913299","https://openalex.org/W2011242223","https://openalex.org/W2013188364","https://openalex.org/W2029122168","https://openalex.org/W2032821035","https://openalex.org/W2035557119","https://openalex.org/W2040453070","https://openalex.org/W2046016527","https://openalex.org/W2048103124","https://openalex.org/W2048916794","https://openalex.org/W2050465727","https://openalex.org/W2055476638","https://openalex.org/W2059217128","https://openalex.org/W2062219129","https://openalex.org/W2068597697","https://openalex.org/W2079279637","https://openalex.org/W2094739044","https://openalex.org/W2101670054","https://openalex.org/W2117852450","https://openalex.org/W2118002292","https://openalex.org/W2121439705","https://openalex.org/W2131058564","https://openalex.org/W2131991463","https://openalex.org/W2133059825","https://openalex.org/W2138510085","https://openalex.org/W2139607486","https://openalex.org/W2143182915","https://openalex.org/W2148143831","https://openalex.org/W2152195021","https://openalex.org/W2161343457","https://openalex.org/W2265356345","https://openalex.org/W2318510158","https://openalex.org/W2344608894","https://openalex.org/W2406222150","https://openalex.org/W2466252026","https://openalex.org/W2480270482","https://openalex.org/W2516907570","https://openalex.org/W2543580944","https://openalex.org/W2558754890","https://openalex.org/W2560609153","https://openalex.org/W2573400248","https://openalex.org/W2594477595","https://openalex.org/W2608426471","https://openalex.org/W2614376571","https://openalex.org/W2757352732","https://openalex.org/W2785429397","https://openalex.org/W2795776870","https://openalex.org/W2802863387","https://openalex.org/W2805018179","https://openalex.org/W2884036341","https://openalex.org/W2889447613","https://openalex.org/W2902069260","https://openalex.org/W2911424601","https://openalex.org/W2912800241","https://openalex.org/W2951295835","https://openalex.org/W2954996726","https://openalex.org/W2956092100","https://openalex.org/W2977063634","https://openalex.org/W2979556297","https://openalex.org/W2985353426","https://openalex.org/W3006018394","https://openalex.org/W3012489276","https://openalex.org/W3012666521","https://openalex.org/W3013599931","https://openalex.org/W3102713119","https://openalex.org/W3102794480","https://openalex.org/W4234146557","https://openalex.org/W6685027412","https://openalex.org/W6699610543","https://openalex.org/W6735249503"],"related_works":["https://openalex.org/W2605476590","https://openalex.org/W2070721548","https://openalex.org/W1931942303","https://openalex.org/W2074880790","https://openalex.org/W2105881518","https://openalex.org/W2166624610","https://openalex.org/W2529337655","https://openalex.org/W2163807810","https://openalex.org/W2955317752","https://openalex.org/W1022302830","https://openalex.org/W2134224983","https://openalex.org/W3021009583","https://openalex.org/W2547052972","https://openalex.org/W1974968608","https://openalex.org/W2137185410","https://openalex.org/W2109418163","https://openalex.org/W2038302860","https://openalex.org/W2039730643","https://openalex.org/W1781491347","https://openalex.org/W2128933182"],"abstract_inverted_index":{"Usually,":[0],"in":[1,52,75,100,166,204,215],"a":[2,24,63,69,79],"real-world":[3],"scenario,":[4],"few":[5],"signature":[6,14,34,142,159],"samples":[7,122,137],"are":[8],"available":[9],"to":[10,28,45,67,81,96,117,178,187],"train":[11,108],"an":[12,30,50,109,114,132],"automatic":[13],"verification":[15],"system":[16],"(ASVS).":[17],"However,":[18],"such":[19],"systems":[20],"do":[21],"indeed":[22],"need":[23,48],"lot":[25],"of":[26,55,65,71,121,131],"signatures":[27,99],"achieve":[29],"acceptable":[31],"performance.":[32],"Neuromotor":[33],"duplication":[35],"methods":[36,41],"and":[37,103,107,146,162],"feature":[38,105,125,191],"space":[39,106,192,207],"augmentation":[40,193],"may":[42],"be":[43],"used":[44,95],"meet":[46],"the":[47,53,76,84,101,104,119,129,135,151,163,167,170,181,184,190,199,205,209,216],"for":[49],"increase":[51],"number":[54],"samples.":[56],"Such":[57],"techniques":[58],"manually":[59],"or":[60],"empirically":[61],"define":[62],"set":[64],"parameters":[66],"introduce":[68,113],"degree":[70],"writer":[72,87,161,212],"variability.":[73],"Therefore,":[74],"present":[77],"study,":[78],"method":[80,93],"automatically":[82],"model":[83,200],"most":[85,210],"common":[86,211],"variability":[88,213],"traits":[89,214],"is":[90,94],"proposed.":[91],"The":[92],"generate":[97],"offline":[98,141],"image":[102,168,206],"ASVS.":[110],"We":[111,127,195],"also":[112,196],"alternative":[115],"approach":[116],"evaluate":[118],"quality":[120],"considering":[123],"their":[124],"vectors.":[126],"evaluated":[128],"performance":[130],"ASVS":[133],"with":[134],"generated":[136,165],"using":[138,156,189],"three":[139,217],"well-known":[140],"datasets:":[143],"GPDS,":[144],"MCYT-75,":[145],"CEDAR.":[147],"In":[148],"GPDS-300,":[149],"when":[150],"SVM":[152],"classifier":[153],"was":[154],"trained":[155],"one":[157],"genuine":[158],"per":[160],"duplicates":[164,203],"space,":[169],"Equal":[171],"Error":[172],"Rate":[173],"(EER)":[174],"decreased":[175,186],"from":[176],"5.71%":[177],"1.08%.":[179],"Under":[180],"same":[182],"conditions,":[183],"EER":[185],"1.04%":[188],"technique.":[194],"verified":[197],"that":[198,201],"generates":[202],"reproduces":[208],"different":[218],"datasets.":[219]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}