{"id":"https://openalex.org/W4200260568","doi":"https://doi.org/10.1109/wifs53200.2021.9648394","title":"Assessment of Synthetically Generated Mated Samples from Single Fingerprint Samples Instances","display_name":"Assessment of Synthetically Generated Mated Samples from Single Fingerprint Samples Instances","publication_year":2021,"publication_date":"2021-12-07","ids":{"openalex":"https://openalex.org/W4200260568","doi":"https://doi.org/10.1109/wifs53200.2021.9648394"},"language":"en","primary_location":{"id":"doi:10.1109/wifs53200.2021.9648394","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs53200.2021.9648394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Workshop on Information Forensics and Security (WIFS)","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/A5020025107","display_name":"Simon Kirchgasser","orcid":"https://orcid.org/0000-0003-4836-0913"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Simon Kirchgasser","raw_affiliation_strings":["University of Salzburg, Salzburg, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Salzburg, Salzburg, Austria","institution_ids":["https://openalex.org/I182212641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037016808","display_name":"Christof Kauba","orcid":"https://orcid.org/0000-0002-2716-1360"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Christof Kauba","raw_affiliation_strings":["University of Salzburg, Salzburg, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Salzburg, Salzburg, Austria","institution_ids":["https://openalex.org/I182212641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062946437","display_name":"Andreas Uhl","orcid":"https://orcid.org/0000-0002-5921-8755"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Andreas Uhl","raw_affiliation_strings":["University of Salzburg, Salzburg, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Salzburg, Salzburg, Austria","institution_ids":["https://openalex.org/I182212641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6177,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.6858807,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"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":0.9998999834060669,"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/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9882000088691711,"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/fingerprint","display_name":"Fingerprint (computing)","score":0.8485326766967773},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.8039469718933105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.736673891544342},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.530138373374939},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5277565121650696},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5231707692146301},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5169812440872192},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.5153653025627136},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.48150548338890076},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08409565687179565}],"concepts":[{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.8485326766967773},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8039469718933105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.736673891544342},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.530138373374939},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5277565121650696},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5231707692146301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5169812440872192},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.5153653025627136},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.48150548338890076},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08409565687179565},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wifs53200.2021.9648394","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs53200.2021.9648394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Workshop on Information Forensics and Security (WIFS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G5653552624","display_name":null,"funder_award_id":"873462","funder_id":"https://openalex.org/F4320323031","funder_display_name":"\u00d6sterreichische Forschungsf\u00f6rderungsgesellschaft"}],"funders":[{"id":"https://openalex.org/F4320323031","display_name":"\u00d6sterreichische Forschungsf\u00f6rderungsgesellschaft","ror":"https://ror.org/028jc0449"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1574770539","https://openalex.org/W1834846564","https://openalex.org/W2016055408","https://openalex.org/W2919852722","https://openalex.org/W3008263932","https://openalex.org/W3176424361","https://openalex.org/W4230579564","https://openalex.org/W4285579170"],"related_works":["https://openalex.org/W1502614025","https://openalex.org/W2186400325","https://openalex.org/W2315459412","https://openalex.org/W4293863368","https://openalex.org/W2355869368","https://openalex.org/W2067275498","https://openalex.org/W2734991885","https://openalex.org/W1925241029","https://openalex.org/W2187565995","https://openalex.org/W2389470892"],"abstract_inverted_index":{"The":[0],"availability":[1],"of":[2,15,43,57,103,133,136],"biometric":[3,28,50],"data":[4,30,45,62,100],"(here":[5],"fingerprint":[6,99,108,121],"samples)":[7],"is":[8,46,59,72,140],"a":[9,40,68,92,113],"crucial":[10],"requirement":[11],"in":[12,21,101],"all":[13],"areas":[14],"biometrics.":[16],"Due":[17],"to":[18,38,47,80,95,106,116,123,126],"recent":[19],"changes":[20],"cross-border":[22],"regulations":[23],"(GDPR)":[24],"sharing":[25],"and":[26,67],"accessing":[27],"sample":[29],"has":[31,53],"become":[32],"more":[33,69],"difficult.":[34],"An":[35],"alternative":[36],"way":[37],"facilitate":[39],"sufficient":[41],"amount":[42],"test":[44],"synthetically":[48,97],"generate":[49,81],"samples,":[51,83],"which":[52,139],"its":[54],"limitations.":[55],"One":[56],"them":[58],"the":[60,131,144],"generated":[61,98],"being":[63],"not":[64,78],"realistic":[65],"enough":[66],"common":[70],"one":[71],"that":[73],"most":[74],"free":[75],"solutions":[76],"are":[77],"able":[79,125],"mated":[82,128],"especially":[84],"for":[85],"fingerprints.":[86],"In":[87],"this":[88],"work":[89],"we":[90,111],"propose":[91],"multi-level":[93,146],"methodology":[94],"assess":[96],"terms":[102],"their":[104],"similarity":[105],"real":[107],"samples.":[109],"Furthermore,":[110],"present":[112],"generic":[114],"approach":[115],"extend":[117],"an":[118],"existing":[119],"synthetic":[120],"generator":[122],"be":[124],"produce":[127],"samples":[129],"on":[130],"basis":[132],"single":[134],"instances":[135],"non-mated":[137],"ones":[138],"then":[141],"evaluated":[142],"using":[143],"aforementioned":[145],"methodology.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
