{"id":"https://openalex.org/W4388093073","doi":"https://doi.org/10.48550/arxiv.2310.19024","title":"FPGAN-Control: A Controllable Fingerprint Generator for Training with Synthetic Data","display_name":"FPGAN-Control: A Controllable Fingerprint Generator for Training with Synthetic Data","publication_year":2023,"publication_date":"2023-10-29","ids":{"openalex":"https://openalex.org/W4388093073","doi":"https://doi.org/10.48550/arxiv.2310.19024"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2310.19024","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.19024","pdf_url":"https://arxiv.org/pdf/2310.19024","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2310.19024","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064987689","display_name":"Alon Shoshan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shoshan, Alon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004008495","display_name":"Nadav Bhonker","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bhonker, Nadav","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110769917","display_name":"Emanuel Ben Baruch","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baruch, Emanuel Ben","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011817008","display_name":"Ori Nizan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nizan, Ori","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040459833","display_name":"Igor Kviatkovsky","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kviatkovsky, Igor","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015429161","display_name":"Joshua J. Engelsma","orcid":"https://orcid.org/0000-0002-2264-8313"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Engelsma, Joshua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004752542","display_name":"Manoj Aggarwal","orcid":"https://orcid.org/0000-0001-5907-1995"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aggarwal, Manoj","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5006918685","display_name":"G\u00e9rard Medioni","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Medioni, Gerard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9991999864578247,"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":0.9991999864578247,"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/T10751","display_name":"Forensic and Genetic Research","score":0.9211000204086304,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9010000228881836,"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/fingerprint","display_name":"Fingerprint (computing)","score":0.7897393107414246},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7198444604873657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5888115167617798},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5863685607910156},{"id":"https://openalex.org/keywords/nist","display_name":"NIST","score":0.5794896483421326},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5740149021148682},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.4789074659347534},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.47606462240219116},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4742885231971741},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.44332998991012573},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.43264713883399963},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3244406580924988},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3205055296421051}],"concepts":[{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.7897393107414246},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7198444604873657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5888115167617798},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5863685607910156},{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.5794896483421326},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5740149021148682},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.4789074659347534},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.47606462240219116},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4742885231971741},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.44332998991012573},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.43264713883399963},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3244406580924988},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3205055296421051},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2310.19024","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.19024","pdf_url":"https://arxiv.org/pdf/2310.19024","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2310.19024","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2310.19024","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2310.19024","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.19024","pdf_url":"https://arxiv.org/pdf/2310.19024","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388093073.pdf","grobid_xml":"https://content.openalex.org/works/W4388093073.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4233349824","https://openalex.org/W3014822659","https://openalex.org/W4362496757","https://openalex.org/W2566091814","https://openalex.org/W4389371618","https://openalex.org/W2051501574","https://openalex.org/W2117826006","https://openalex.org/W2114937328","https://openalex.org/W2148654711","https://openalex.org/W4200422973"],"abstract_inverted_index":{"Training":[0],"fingerprint":[1,28,76],"recognition":[2,52,145,156],"models":[3,146,165],"using":[4,147,167],"synthetic":[5,149],"data":[6,49],"has":[7],"recently":[8],"gained":[9],"increased":[10],"attention":[11],"in":[12,32,128],"the":[13,19,40,71,95,106,115,120,171,178],"biometric":[14],"community":[15],"as":[16],"it":[17],"alleviates":[18],"dependency":[20],"on":[21,160],"sensitive":[22],"personal":[23],"data.":[24,169],"Existing":[25],"approaches":[26],"for":[27,46,50,113],"generation":[29,65],"are":[30,159],"limited":[31],"their":[33],"ability":[34],"to":[35,155,181],"generate":[36],"diverse":[37],"impressions":[38],"of":[39,82,122,130,135,173],"same":[41],"finger,":[42],"a":[43,87],"key":[44],"property":[45],"providing":[47],"effective":[48],"training":[51,114,144],"models.":[53],"To":[54,170],"address":[55],"this":[56,176],"gap,":[57],"we":[58,104],"present":[59],"FPGAN-Control,":[60,123],"an":[61],"identity":[62,97,131],"preserving":[63],"image":[64,73],"framework":[66],"which":[67],"enables":[68],"control":[69],"over":[70],"fingerprint's":[72,96],"appearance":[74,89,99,136],"(e.g.,":[75],"type,":[77],"acquisition":[78],"device,":[79],"pressure":[80],"level)":[81],"generated":[83,151],"fingerprints.":[84],"We":[85,118],"introduce":[86],"novel":[88],"loss":[90],"that":[91,158],"encourages":[92],"disentanglement":[93],"between":[94],"and":[98,126,138],"properties.":[100],"In":[101],"our":[102,174],"experiments,":[103],"used":[105],"publicly":[107],"available":[108],"NIST":[109],"SD302":[110],"(N2N)":[111],"dataset":[112],"FPGAN-Control":[116,153],"model.":[117],"demonstrate":[119,182],"merits":[121],"both":[124],"quantitatively":[125],"qualitatively,":[127],"terms":[129],"preservation":[132],"level,":[133],"degree":[134],"control,":[137],"low":[139],"synthetic-to-real":[140],"domain":[141],"gap.":[142],"Finally,":[143],"only":[148],"datasets":[150],"by":[152],"lead":[154],"accuracies":[157],"par":[161],"or":[162],"even":[163],"surpass":[164],"trained":[166],"real":[168],"best":[172],"knowledge,":[175],"is":[177],"first":[179],"work":[180],"this.":[183]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2023-11-01T00:00:00"}