{"id":"https://openalex.org/W7140138627","doi":"https://doi.org/10.1109/lsp.2026.3676709","title":"Fingerprint Presentation Attack Detection With Fixed Prototype Contrastive Learning and Anomaly Detection","display_name":"Fingerprint Presentation Attack Detection With Fixed Prototype Contrastive Learning and Anomaly Detection","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140138627","doi":"https://doi.org/10.1109/lsp.2026.3676709"},"language":null,"primary_location":{"id":"doi:10.1109/lsp.2026.3676709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2026.3676709","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5008896305","display_name":"Chuanwei Huang","orcid":"https://orcid.org/0000-0003-3475-9325"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanwei Huang","raw_affiliation_strings":["School of Intelligence Science and Technology State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-6133-2073","affiliations":[{"raw_affiliation_string":"School of Intelligence Science and Technology State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065543208","display_name":"Hongyan Fei","orcid":"https://orcid.org/0000-0002-9820-9472"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyan Fei","raw_affiliation_strings":["School of Intelligence Science and Technology State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9820-9472","affiliations":[{"raw_affiliation_string":"School of Intelligence Science and Technology State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074445750","display_name":"Pengcheng Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengcheng Luo","raw_affiliation_strings":["School of Intelligence Science and Technology State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0006-8690-7392","affiliations":[{"raw_affiliation_string":"School of Intelligence Science and Technology State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361975","display_name":"Jun Li","orcid":"https://orcid.org/0000-0002-8937-3991"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwei Li","raw_affiliation_strings":["School of Intelligence Science and Technology State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-3788-8010","affiliations":[{"raw_affiliation_string":"School of Intelligence Science and Technology State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100517948","display_name":"Jufu Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jufu Feng","raw_affiliation_strings":["School of Intelligence Science and Technology State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5921-0617","affiliations":[{"raw_affiliation_string":"School of Intelligence Science and Technology State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210100255"],"apc_list":null,"apc_paid":null,"fwci":19.1532,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.98565212,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"33","issue":null,"first_page":"1831","last_page":"1835"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.7882999777793884,"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"}},"topics":[{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.7882999777793884,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.025599999353289604,"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/T11448","display_name":"Face recognition and analysis","score":0.01850000023841858,"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/anomaly-detection","display_name":"Anomaly detection","score":0.6189000010490417},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4745999872684479},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.46000000834465027},{"id":"https://openalex.org/keywords/presentation","display_name":"Presentation (obstetrics)","score":0.43700000643730164},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4032999873161316},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.3239000141620636}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7702999711036682},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6347000002861023},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6189000010490417},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4745999872684479},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.46000000834465027},{"id":"https://openalex.org/C2777601897","wikidata":"https://www.wikidata.org/wiki/Q3409113","display_name":"Presentation (obstetrics)","level":2,"score":0.43700000643730164},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4032999873161316},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35670000314712524},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.3239000141620636},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.32179999351501465},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2863999903202057},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.27630001306533813},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.2718000113964081}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2026.3676709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2026.3676709","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-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":[],"abstract_inverted_index":{"Fingerprint":[0],"Presentation":[1],"Attack":[2],"Detection":[3,106],"(PAD)":[4],"is":[5,38],"crucial":[6],"for":[7,77,112],"ensuring":[8],"the":[9,66,83,94,118,125,135,138,157],"reliability":[10],"of":[11,85,96],"fingerprint":[12,122],"recognition":[13],"systems.":[14],"Mainstream":[15],"methods":[16],"typically":[17],"frame":[18],"PAD":[19,58,68,79],"as":[20,59],"a":[21,89,103],"binary":[22,110],"classification":[23,111],"task.":[24],"Although":[25],"they":[26],"achieve":[27],"commendable":[28],"results,":[29],"these":[30],"approaches":[31],"often":[32],"fail":[33],"on":[34,45,137,156],"unseen":[35],"spoofs.":[36,131],"This":[37],"because":[39],"their":[40],"decision":[41],"boundaries":[42],"rely":[43],"heavily":[44],"trainset":[46,139],"spoofs,":[47],"leading":[48],"to":[49,108,129],"poor":[50],"generalization.":[51],"To":[52],"address":[53],"this":[54,115],"issue,":[55],"we":[56,71],"reformulate":[57],"an":[60],"anomaly":[61],"detection":[62],"problem":[63],"and":[64,124,160],"propose":[65],"Fixed-Prototype":[67,73,104],"method.":[69],"First,":[70],"introduce":[72],"Contrastive":[74],"Learning":[75],"(FPCL)":[76],"extracting":[78],"features.":[80],"FPCL":[81],"clusters":[82],"features":[84,95,123],"live":[86,127],"fingerprints":[87,98],"near":[88],"fixed":[90,126],"prototype":[91,128],"while":[92],"pushing":[93],"spoof":[97],"away.":[99],"We":[100],"then":[101],"design":[102],"Anomaly":[105],"method":[107,133],"replace":[109],"decision-making.":[113],"Specifically,":[114],"involves":[116],"comparing":[117],"distance":[119],"between":[120],"test":[121],"detect":[130],"Our":[132],"eliminates":[134],"dependency":[136],"spoofs":[140],"during":[141],"decision-making,":[142],"thereby":[143],"enhancing":[144],"generalization":[145],"capability.":[146],"Experimental":[147],"results":[148],"demonstrate":[149],"that":[150],"our":[151],"approach":[152],"achieves":[153],"state-of-the-art":[154],"performance":[155],"LivDet":[158,161],"2019":[159],"2021":[162],"benchmarks.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2026-03-24T00:00:00"}