{"id":"https://openalex.org/W4297337076","doi":"https://doi.org/10.1109/biosig55365.2022.9897023","title":"Fusion of Face Demorphing and Deep Face Representations for Differential Morphing Attack Detection","display_name":"Fusion of Face Demorphing and Deep Face Representations for Differential Morphing Attack Detection","publication_year":2022,"publication_date":"2022-09-01","ids":{"openalex":"https://openalex.org/W4297337076","doi":"https://doi.org/10.1109/biosig55365.2022.9897023"},"language":"en","primary_location":{"id":"doi:10.1109/biosig55365.2022.9897023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biosig55365.2022.9897023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference of the Biometrics Special Interest Group (BIOSIG)","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/A5054218298","display_name":"E. Shiqerukaj","orcid":null},"institutions":[{"id":"https://openalex.org/I1295585255","display_name":"European Union Agency for Network and Information Security","ror":"https://ror.org/00wqx6897","country_code":"GR","type":"government","lineage":["https://openalex.org/I1295585255","https://openalex.org/I1320481043"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"E. Shiqerukaj","raw_affiliation_strings":["secunet Security Networks,Essen,Germany","secunet Security Networks, Essen, Germany"],"affiliations":[{"raw_affiliation_string":"secunet Security Networks,Essen,Germany","institution_ids":["https://openalex.org/I1295585255"]},{"raw_affiliation_string":"secunet Security Networks, Essen, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087866084","display_name":"Christian Rathgeb","orcid":"https://orcid.org/0000-0003-1901-9468"},"institutions":[{"id":"https://openalex.org/I1295585255","display_name":"European Union Agency for Network and Information Security","ror":"https://ror.org/00wqx6897","country_code":"GR","type":"government","lineage":["https://openalex.org/I1295585255","https://openalex.org/I1320481043"]},{"id":"https://openalex.org/I107257983","display_name":"Darmstadt University of Applied Sciences","ror":"https://ror.org/047wbd030","country_code":"DE","type":"education","lineage":["https://openalex.org/I107257983"]}],"countries":["DE","GR"],"is_corresponding":false,"raw_author_name":"C. Rathgeb","raw_affiliation_strings":["secunet Security Networks,Essen,Germany","secunet Security Networks, Essen, Germany","Hochschule, Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"secunet Security Networks,Essen,Germany","institution_ids":["https://openalex.org/I1295585255"]},{"raw_affiliation_string":"secunet Security Networks, Essen, Germany","institution_ids":[]},{"raw_affiliation_string":"Hochschule, Darmstadt, Germany","institution_ids":["https://openalex.org/I107257983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075955550","display_name":"Johannes Merkle","orcid":null},"institutions":[{"id":"https://openalex.org/I1295585255","display_name":"European Union Agency for Network and Information Security","ror":"https://ror.org/00wqx6897","country_code":"GR","type":"government","lineage":["https://openalex.org/I1295585255","https://openalex.org/I1320481043"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"J. Merkle","raw_affiliation_strings":["secunet Security Networks,Essen,Germany","secunet Security Networks, Essen, Germany"],"affiliations":[{"raw_affiliation_string":"secunet Security Networks,Essen,Germany","institution_ids":["https://openalex.org/I1295585255"]},{"raw_affiliation_string":"secunet Security Networks, Essen, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014223530","display_name":"Pawel Drozdowski","orcid":"https://orcid.org/0000-0003-4758-339X"},"institutions":[{"id":"https://openalex.org/I1295585255","display_name":"European Union Agency for Network and Information Security","ror":"https://ror.org/00wqx6897","country_code":"GR","type":"government","lineage":["https://openalex.org/I1295585255","https://openalex.org/I1320481043"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"P. Drozdowski","raw_affiliation_strings":["secunet Security Networks,Essen,Germany","secunet Security Networks, Essen, Germany"],"affiliations":[{"raw_affiliation_string":"secunet Security Networks,Essen,Germany","institution_ids":["https://openalex.org/I1295585255"]},{"raw_affiliation_string":"secunet Security Networks, Essen, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061700571","display_name":"Benjamin Tams","orcid":null},"institutions":[{"id":"https://openalex.org/I1295585255","display_name":"European Union Agency for Network and Information Security","ror":"https://ror.org/00wqx6897","country_code":"GR","type":"government","lineage":["https://openalex.org/I1295585255","https://openalex.org/I1320481043"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"B. Tams","raw_affiliation_strings":["secunet Security Networks,Essen,Germany","secunet Security Networks, Essen, Germany"],"affiliations":[{"raw_affiliation_string":"secunet Security Networks,Essen,Germany","institution_ids":["https://openalex.org/I1295585255"]},{"raw_affiliation_string":"secunet Security Networks, Essen, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5054218298"],"corresponding_institution_ids":["https://openalex.org/I1295585255"],"apc_list":null,"apc_paid":null,"fwci":0.604,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.67293464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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/T11448","display_name":"Face recognition and analysis","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/T10828","display_name":"Biometric Identification and Security","score":0.9980000257492065,"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/T10057","display_name":"Face and Expression Recognition","score":0.9824000000953674,"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/morphing","display_name":"Morphing","score":0.9790385961532593},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7772927284240723},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7352998852729797},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.7269436120986938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6975064873695374},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.637813925743103},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5584965348243713},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5208433270454407},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44596540927886963},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.4354110062122345},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06980034708976746}],"concepts":[{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.9790385961532593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7772927284240723},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7352998852729797},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.7269436120986938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6975064873695374},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.637813925743103},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5584965348243713},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5208433270454407},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44596540927886963},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.4354110062122345},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06980034708976746},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/biosig55365.2022.9897023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biosig55365.2022.9897023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference of the Biometrics Special Interest Group (BIOSIG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321147","display_name":"Ministry of Higher Education","ror":"https://ror.org/0512bh102"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2137659841","https://openalex.org/W2783693055","https://openalex.org/W2810011391","https://openalex.org/W2887261163","https://openalex.org/W2913239513","https://openalex.org/W2963839617","https://openalex.org/W2969985801","https://openalex.org/W2984316697","https://openalex.org/W3009760458","https://openalex.org/W3012534509","https://openalex.org/W3024925547","https://openalex.org/W3084941652","https://openalex.org/W3097243384","https://openalex.org/W3154569431","https://openalex.org/W3190692002","https://openalex.org/W4210699789","https://openalex.org/W4235141242"],"related_works":["https://openalex.org/W1679315481","https://openalex.org/W3151495635","https://openalex.org/W4385170164","https://openalex.org/W4236870338","https://openalex.org/W2016917053","https://openalex.org/W1580681114","https://openalex.org/W51472912","https://openalex.org/W4362722828","https://openalex.org/W2375652671","https://openalex.org/W2370788183"],"abstract_inverted_index":{"Algorithm":[0],"fusion":[1,28,66],"is":[2,90],"frequently":[3],"employed":[4],"to":[5,16,93],"improve":[6],"the":[7,74,80,103],"accuracy":[8],"of":[9,29,67,88,98,102],"pattern":[10],"recognition":[11],"tasks.":[12],"This":[13],"particularly":[14],"applies":[15],"biometrics":[17],"including":[18],"attack":[19,33,76,107],"detection":[20,34,77,84,94,108],"mechanisms.":[21],"In":[22],"this":[23],"work,":[24],"we":[25],"apply":[26],"a":[27,46,62,83],"two":[30],"differential":[31],"morphing":[32,75,106],"methods,":[35,109],"i.e.":[36],"Demorphing":[37,68],"and":[38,69,100],"Deep":[39,70],"Face":[40,71],"Representations.":[41],"Experiments":[42],"are":[43],"performed":[44],"in":[45],"cross-database":[47],"scenario":[48],"using":[49],"high-quality":[50],"face":[51],"morphs":[52],"along":[53],"with":[54],"realistic":[55],"live":[56],"captures.":[57],"Obtained":[58],"results":[59],"reveal":[60],"that":[61],"weighted":[63],"sum-based":[64],"score-level":[65],"Representations":[72],"improves":[73],"accuracy.":[78],"With":[79],"proposed":[81],"fusion,":[82],"equal":[85,95],"error":[86,96],"rate":[87],"4.9%":[89],"achieved,":[91],"compared":[92],"rates":[97],"5.6%":[99],"5.8%":[101],"best":[104],"individual":[105],"respectively.":[110]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}