{"id":"https://openalex.org/W4404609240","doi":"https://doi.org/10.1109/icmlca63499.2024.10754373","title":"Offline Signature Verification Based on Feature Disentangling Aided Variational Autoencoder","display_name":"Offline Signature Verification Based on Feature Disentangling Aided Variational Autoencoder","publication_year":2024,"publication_date":"2024-10-18","ids":{"openalex":"https://openalex.org/W4404609240","doi":"https://doi.org/10.1109/icmlca63499.2024.10754373"},"language":"en","primary_location":{"id":"doi:10.1109/icmlca63499.2024.10754373","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icmlca63499.2024.10754373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 5th International Conference on Machine Learning and Computer Application (ICMLCA)","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/A5073422679","display_name":"Hansong Zhang","orcid":"https://orcid.org/0000-0002-4036-3784"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hansong Zhang","raw_affiliation_strings":["University of California, San Diego,La Jolla,CA,US"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego,La Jolla,CA,US","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113373736","display_name":"Jiangjian Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiangjian Guo","raw_affiliation_strings":["University of California, San Diego,La Jolla,CA,US"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego,La Jolla,CA,US","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103153794","display_name":"Kun Li","orcid":"https://orcid.org/0000-0002-1632-7097"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kun Li","raw_affiliation_strings":["University of Illinois Urbana-Champaign,Champaign,IL,US"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign,Champaign,IL,US","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354733","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0002-8540-1254"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["Boston University,Boston,MA,US"],"affiliations":[{"raw_affiliation_string":"Boston University,Boston,MA,US","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070235623","display_name":"Yimei Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yimei Zhao","raw_affiliation_strings":["University of California, San Diego,La Jolla,CA,US"],"affiliations":[{"raw_affiliation_string":"University of California, San Diego,La Jolla,CA,US","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5073422679"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":0.3637,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69030356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"549","last_page":"554"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9487000107765198,"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"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9487000107765198,"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"}},{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9470000267028809,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9038000106811523,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/autoencoder","display_name":"Autoencoder","score":0.9187262654304504},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.7898162603378296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.691685676574707},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6385955810546875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5678970813751221},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5587853193283081},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.340509831905365},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.20591989159584045},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15274310111999512}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9187262654304504},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.7898162603378296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.691685676574707},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6385955810546875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5678970813751221},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5587853193283081},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.340509831905365},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.20591989159584045},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15274310111999512},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlca63499.2024.10754373","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icmlca63499.2024.10754373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 5th International Conference on Machine Learning and Computer Application (ICMLCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W4386815338","https://openalex.org/W2145836866","https://openalex.org/W2803255133"],"abstract_inverted_index":{"Offline":[0],"handwritten":[1,16],"signature":[2,17,28,35,78,93,112,170],"verification":[3,29,79,94,171],"systems":[4,30],"are":[5,48,56,74,81,152],"used":[6],"to":[7,107,146],"verify":[8],"the":[9,69,98,116,122,147,162,180,186],"identity":[10],"of":[11,27,45,71,185],"individuals,":[12],"through":[13],"recognizing":[14],"their":[15,60],"image":[18],"as":[19],"genuine":[20,51],"signatures":[21,52],"or":[22],"forgeries.":[23],"The":[24,43,173],"main":[25],"tasks":[26,47],"include":[31],"extracting":[32],"features":[33,109,117],"from":[34,111],"images":[36],"and":[37,53,159,182],"training":[38],"a":[39,64,91,103,127],"classifier":[40],"for":[41,131,143],"classification.":[42],"challenges":[44],"these":[46,86],"twofold.":[49],"First,":[50],"skilled":[54,72],"forgeries":[55,73],"highly":[57],"similar":[58],"in":[59,63,176,189],"appearances,":[61],"resulting":[62],"small":[65],"inter-class":[66],"distance.":[67],"Second,":[68],"instances":[70],"often":[75],"unavailable,":[76],"when":[77],"models":[80],"being":[82],"trained.":[83],"To":[84,114],"tackle":[85],"problems,":[87],"this":[88],"paper":[89],"proposes":[90],"new":[92,128],"method.":[95],"It":[96],"is":[97],"first":[99],"model":[100],"that":[101],"employs":[102],"variational":[104],"autoencoder":[105],"(VAE)":[106],"extract":[108],"directly":[110],"images.":[113],"make":[115],"more":[118],"discriminative,":[119],"it":[120,136],"improves":[121],"traditional":[123],"VAEs":[124],"by":[125],"introducing":[126],"loss":[129],"function":[130],"feature":[132],"disentangling.":[133],"In":[134],"addition,":[135],"relies":[137],"on":[138,154],"SVM":[139],"(Support":[140],"Vector":[141],"Machine)":[142],"classification":[144],"according":[145],"extracted":[148],"features.":[149],"Extensive":[150],"experiments":[151],"conducted":[153],"two":[155],"public":[156],"datasets:":[157],"MCYT-75":[158],"GPDS-synthetic":[160],"where":[161],"proposed":[163],"method":[164],"significantly":[165],"outperformed":[166],"13":[167],"representative":[168],"offline":[169],"methods.":[172],"achieved":[174],"improvement":[175],"distinctive":[177],"datasets":[178],"indicates":[179],"robustness":[181],"great":[183],"potential":[184],"developed":[187],"system":[188],"real":[190],"application.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}