{"id":"https://openalex.org/W4391640523","doi":"https://doi.org/10.1109/tbiom.2024.3364021","title":"GSCL: Generative Self-Supervised Contrastive Learning for Vein-Based Biometric Verification","display_name":"GSCL: Generative Self-Supervised Contrastive Learning for Vein-Based Biometric Verification","publication_year":2024,"publication_date":"2024-02-08","ids":{"openalex":"https://openalex.org/W4391640523","doi":"https://doi.org/10.1109/tbiom.2024.3364021"},"language":"en","primary_location":{"id":"doi:10.1109/tbiom.2024.3364021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbiom.2024.3364021","pdf_url":null,"source":{"id":"https://openalex.org/S4210209367","display_name":"IEEE Transactions on Biometrics Behavior and Identity Science","issn_l":"2637-6407","issn":["2637-6407"],"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 Biometrics, Behavior, and Identity Science","raw_type":"journal-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/A5005598259","display_name":"Weifeng Ou","orcid":"https://orcid.org/0000-0002-8908-3863"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei-Feng Ou","raw_affiliation_strings":["School of Computer Science and Technology, Dongguan University of Technology, Dongguan, China"],"raw_orcid":"https://orcid.org/0000-0002-8908-3863","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Dongguan University of Technology, Dongguan, China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038133707","display_name":"Lai-Man Po","orcid":"https://orcid.org/0000-0002-5185-1492"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lai-Man Po","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-5185-1492","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101940591","display_name":"Xiu\u2010Feng Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiu-Feng Huang","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0009-0003-2249-3264","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081706999","display_name":"Wing-Yin Yu","orcid":"https://orcid.org/0000-0002-9559-1055"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wing-Yin Yu","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-9559-1055","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071193469","display_name":"Yuzhi Zhao","orcid":"https://orcid.org/0000-0001-8561-2206"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yu-Zhi Zhao","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-8561-2206","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5005598259"],"corresponding_institution_ids":["https://openalex.org/I2799850029"],"apc_list":null,"apc_paid":null,"fwci":1.6328,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85022917,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"6","issue":"2","first_page":"230","last_page":"244"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9728000164031982,"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/T10862","display_name":"AI in cancer detection","score":0.9728000164031982,"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/T10828","display_name":"Biometric Identification and Security","score":0.9603999853134155,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9279999732971191,"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/biometrics","display_name":"Biometrics","score":0.8343579769134521},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6910318732261658},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.591307520866394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5221569538116455},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3731786608695984},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3214196562767029}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8343579769134521},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6910318732261658},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.591307520866394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5221569538116455},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3731786608695984},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3214196562767029}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbiom.2024.3364021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbiom.2024.3364021","pdf_url":null,"source":{"id":"https://openalex.org/S4210209367","display_name":"IEEE Transactions on Biometrics Behavior and Identity Science","issn_l":"2637-6407","issn":["2637-6407"],"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 Biometrics, Behavior, and Identity Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3895859147","display_name":null,"funder_award_id":"2022YFF0606303","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G462881820","display_name":null,"funder_award_id":"62206054","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":86,"referenced_works":["https://openalex.org/W191940071","https://openalex.org/W1512403036","https://openalex.org/W1523682477","https://openalex.org/W1991620112","https://openalex.org/W2004617923","https://openalex.org/W2037340447","https://openalex.org/W2058362416","https://openalex.org/W2071450451","https://openalex.org/W2096733369","https://openalex.org/W2102780391","https://openalex.org/W2118323481","https://openalex.org/W2119416456","https://openalex.org/W2144796873","https://openalex.org/W2194775991","https://openalex.org/W2328254514","https://openalex.org/W2598954556","https://openalex.org/W2599632008","https://openalex.org/W2606063865","https://openalex.org/W2624181600","https://openalex.org/W2626053630","https://openalex.org/W2791437400","https://openalex.org/W2793410607","https://openalex.org/W2798991696","https://openalex.org/W2811014381","https://openalex.org/W2884114979","https://openalex.org/W2903419854","https://openalex.org/W2915817060","https://openalex.org/W2917172368","https://openalex.org/W2919938126","https://openalex.org/W2938788221","https://openalex.org/W2940927497","https://openalex.org/W2945197573","https://openalex.org/W2946595465","https://openalex.org/W2948212638","https://openalex.org/W2952526090","https://openalex.org/W2955256527","https://openalex.org/W2958587321","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W2962898354","https://openalex.org/W2963073614","https://openalex.org/W2969985801","https://openalex.org/W2979579363","https://openalex.org/W2984049105","https://openalex.org/W2996162755","https://openalex.org/W3005370840","https://openalex.org/W3013201416","https://openalex.org/W3025751871","https://openalex.org/W3034256998","https://openalex.org/W3035060554","https://openalex.org/W3035524453","https://openalex.org/W3035574324","https://openalex.org/W3049342961","https://openalex.org/W3092623934","https://openalex.org/W3093656966","https://openalex.org/W3115487927","https://openalex.org/W3119247023","https://openalex.org/W3132400026","https://openalex.org/W3134449933","https://openalex.org/W3156705816","https://openalex.org/W3156765634","https://openalex.org/W3159177986","https://openalex.org/W3171007011","https://openalex.org/W3173462217","https://openalex.org/W3186076268","https://openalex.org/W3206974845","https://openalex.org/W3214084518","https://openalex.org/W3214864482","https://openalex.org/W3216417916","https://openalex.org/W4200466796","https://openalex.org/W4213014045","https://openalex.org/W4246794637","https://openalex.org/W4251287167","https://openalex.org/W4281630019","https://openalex.org/W4285132446","https://openalex.org/W4285180133","https://openalex.org/W4285256357","https://openalex.org/W4311897804","https://openalex.org/W4312315931","https://openalex.org/W4312730671","https://openalex.org/W4320004367","https://openalex.org/W4327643790","https://openalex.org/W6617411900","https://openalex.org/W6684191040","https://openalex.org/W6779326418","https://openalex.org/W6786614245"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2379932303","https://openalex.org/W2095239294","https://openalex.org/W3147744369","https://openalex.org/W2062586268","https://openalex.org/W2019582947","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Vein-based":[0],"biometric":[1,22],"technology":[2],"offers":[3],"secure":[4],"identity":[5],"authentication":[6],"due":[7],"to":[8,60,81,100,136],"the":[9,16,25,31,63,102,111,117,134,139,149,189],"concealed":[10],"nature":[11],"of":[12,19,27,34,128,151,191],"blood":[13],"vessels.":[14],"Despite":[15],"promising":[17],"performance":[18],"deep":[20,35],"learning-based":[21],"vein":[23,28,69,83,90,95,145,173,176,185],"recognition,":[24],"scarcity":[26],"data":[29,70,120],"hinders":[30],"discriminative":[32,131],"power":[33],"features,":[36],"thus":[37],"affecting":[38],"overall":[39],"performance.":[40],"To":[41],"tackle":[42],"this":[43,45],"problem,":[44],"paper":[46],"presents":[47],"a":[48,57,78,122,158,181],"generative":[49,129],"self-supervised":[50,107],"contrastive":[51,108],"learning":[52],"(GSCL)":[53],"scheme,":[54],"designed":[55],"from":[56,67],"data-centric":[58],"viewpoint":[59],"fully":[61],"mine":[62],"potential":[64],"prior":[65,141],"knowledge":[66,142],"limited":[68],"for":[71,162],"improving":[72,148,163,194],"feature":[73,103,152],"representations.":[74,153],"GSCL":[75,192],"first":[76],"utilizes":[77],"style-based":[79],"generator":[80],"model":[82],"image":[84,91],"distribution":[85],"and":[86,130,174],"then":[87,98],"generate":[88],"numerous":[89],"samples.":[92],"These":[93],"generated":[94],"images":[96],"are":[97],"leveraged":[99],"pretrain":[101],"extraction":[104],"network":[105,112,135],"via":[106],"learning.":[109],"Subsequently,":[110],"undergoes":[113],"further":[114],"fine-tuning":[115],"using":[116],"original":[118],"training":[119],"in":[121,144,193],"supervised":[123],"manner.":[124],"This":[125],"systematic":[126],"combination":[127],"modeling":[132],"allows":[133],"comprehensively":[137],"excavate":[138],"semantic":[140],"inherent":[143],"data,":[146],"ultimately":[147],"quality":[150],"In":[154],"addition,":[155],"we":[156],"investigate":[157],"multi-template":[159],"enrollment":[160],"method":[161],"practical":[164],"verification":[165],"accuracy.":[166],"Extensive":[167],"experiments":[168],"conducted":[169],"on":[170],"public":[171],"finger":[172,184],"palm":[175],"databases,":[177],"as":[178,180],"well":[179],"newly":[182],"collected":[183],"video":[186],"database,":[187],"demonstrate":[188],"effectiveness":[190],"representation":[195],"quality.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
