{"id":"https://openalex.org/W4416183303","doi":"https://doi.org/10.1109/sibgrapi67909.2025.11223489","title":"ResUNet: A Lightweight Residual U-Net for Scalable Fingerprint Enhancement","display_name":"ResUNet: A Lightweight Residual U-Net for Scalable Fingerprint Enhancement","publication_year":2025,"publication_date":"2025-09-30","ids":{"openalex":"https://openalex.org/W4416183303","doi":"https://doi.org/10.1109/sibgrapi67909.2025.11223489"},"language":null,"primary_location":{"id":"doi:10.1109/sibgrapi67909.2025.11223489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgrapi67909.2025.11223489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 38th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","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/A5054611009","display_name":"Andr\u00e9 N\u00f3brega","orcid":null},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]},{"id":"https://openalex.org/I4210148978","display_name":"Hospital de Cl\u00ednicas da Unicamp","ror":"https://ror.org/05g89bp20","country_code":"BR","type":"healthcare","lineage":["https://openalex.org/I4210148978"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Andr\u00e9 N\u00f3brega","raw_affiliation_strings":["Institute of Computing, Unicamp, Campinas,S&#x00E3;o Paulo,Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Computing, Unicamp, Campinas,S&#x00E3;o Paulo,Brazil","institution_ids":["https://openalex.org/I181391015","https://openalex.org/I4210148978"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115814832","display_name":"Jo\u00e3o F. Contreras","orcid":null},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]},{"id":"https://openalex.org/I4210148978","display_name":"Hospital de Cl\u00ednicas da Unicamp","ror":"https://ror.org/05g89bp20","country_code":"BR","type":"healthcare","lineage":["https://openalex.org/I4210148978"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jo\u00e3o Contreras","raw_affiliation_strings":["Institute of Computing, Unicamp, Campinas,S&#x00E3;o Paulo,Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Computing, Unicamp, Campinas,S&#x00E3;o Paulo,Brazil","institution_ids":["https://openalex.org/I181391015","https://openalex.org/I4210148978"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103679151","display_name":"Pascual J. Figueroa","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162591","display_name":"Griaule Biometrics (Brazil)","ror":"https://ror.org/056hxdb03","country_code":"BR","type":"company","lineage":["https://openalex.org/I4210162591"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Pascual Figueroa","raw_affiliation_strings":["Griaule, Campinas,Research and Development,S&#x00E3;o Paulo,Brazil"],"affiliations":[{"raw_affiliation_string":"Griaule, Campinas,Research and Development,S&#x00E3;o Paulo,Brazil","institution_ids":["https://openalex.org/I4210162591"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015267493","display_name":"Alexandre X. Falc\u00e3o","orcid":"https://orcid.org/0000-0002-2914-5380"},"institutions":[{"id":"https://openalex.org/I4210148978","display_name":"Hospital de Cl\u00ednicas da Unicamp","ror":"https://ror.org/05g89bp20","country_code":"BR","type":"healthcare","lineage":["https://openalex.org/I4210148978"]},{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alexandre Falc\u00e3o","raw_affiliation_strings":["Institute of Computing, Unicamp, Campinas,S&#x00E3;o Paulo,Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Computing, Unicamp, Campinas,S&#x00E3;o Paulo,Brazil","institution_ids":["https://openalex.org/I181391015","https://openalex.org/I4210148978"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054611009"],"corresponding_institution_ids":["https://openalex.org/I181391015","https://openalex.org/I4210148978"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41518155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":0.5971999764442444,"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":0.5971999764442444,"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":0.2393999993801117,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.06669999659061432,"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/scalability","display_name":"Scalability","score":0.7635999917984009},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6786999702453613},{"id":"https://openalex.org/keywords/nist","display_name":"NIST","score":0.6488000154495239},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.5810999870300293},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5401999950408936},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5072000026702881},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4595000147819519},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.41260001063346863}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7635999917984009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7594000101089478},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6786999702453613},{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.6488000154495239},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.5810999870300293},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5468999743461609},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5401999950408936},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5072000026702881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46970000863075256},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4595000147819519},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.41260001063346863},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4050999879837036},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.37619999051094055},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.3400999903678894},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.33709999918937683},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.30730000138282776},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.29679998755455017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2955000102519989},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.257099986076355},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C92446256","wikidata":"https://www.wikidata.org/wiki/Q3306762","display_name":"Data validation","level":2,"score":0.250900000333786},{"id":"https://openalex.org/C9893847","wikidata":"https://www.wikidata.org/wiki/Q1425625","display_name":"Reproducibility","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sibgrapi67909.2025.11223489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgrapi67909.2025.11223489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 38th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G11144973","display_name":null,"funder_award_id":"2023/14427-8 and #2013/07375-0","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G5309424874","display_name":null,"funder_award_id":"304711/2023-3,304711/2023-3","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1964320810","https://openalex.org/W1974588518","https://openalex.org/W2127717018","https://openalex.org/W2135426669","https://openalex.org/W2137441863","https://openalex.org/W2170075141","https://openalex.org/W2194775991","https://openalex.org/W2748806792","https://openalex.org/W2887636172","https://openalex.org/W2922019699","https://openalex.org/W2962772269","https://openalex.org/W2963165122","https://openalex.org/W2963417988","https://openalex.org/W2975084324","https://openalex.org/W3035363509","https://openalex.org/W3093853193","https://openalex.org/W3102039915","https://openalex.org/W4205760248","https://openalex.org/W4230579564","https://openalex.org/W4316021679","https://openalex.org/W4386825547","https://openalex.org/W4400033900","https://openalex.org/W4403535094","https://openalex.org/W4405306027"],"related_works":[],"abstract_inverted_index":{"Enhancing":[0],"latent":[1,54],"fingerprints":[2],"is":[3,151],"a":[4,31,51,101,106,152],"critical":[5],"step":[6],"in":[7,88],"forensic":[8],"biometric":[9],"pipelines":[10],"that":[11,39,149],"remains":[12],"challenging":[13],"due":[14],"to":[15,58,123,141],"severe":[16],"image":[17],"degradation":[18],"and":[19,63,75,131,144,154],"the":[20,96],"need":[21],"for":[22,36,66,157],"scalable":[23,153],"processing.":[24],"In":[25],"this":[26],"work,":[27],"we":[28],"introduce":[29],"ResUNet,":[30],"lightweight":[32,114],"Residual":[33],"U-Net":[34],"architecture":[35],"fingerprint":[37,55],"enhancement":[38],"achieves":[40],"competitive":[41],"identification":[42,103],"accuracy":[43,119],"while":[44,120],"remaining":[45],"highly":[46],"efficient.":[47],"Our":[48,109],"framework":[49,140],"leverages":[50],"novel":[52],"synthetic":[53,138],"generator":[56],"designed":[57],"simulate":[59],"realistic":[60],"noise,":[61],"occlusions,":[62],"background":[64],"patterns":[65],"self-supervised":[67],"learning.":[68],"By":[69],"segmenting":[70],"recoverable":[71],"regions":[72],"with":[73],"FingerNet":[74],"excluding":[76],"unrecoverable":[77],"areas":[78],"from":[79],"supervision,":[80],"our":[81,93,137],"model":[82],"avoids":[83],"hallucination,":[84],"an":[85],"issue":[86],"prevalent":[87],"prior":[89],"methods.":[90],"We":[91,134],"evaluate":[92],"method":[94],"on":[95],"NIST":[97],"SD27":[98],"dataset":[99],"under":[100],"closed-set":[102],"protocol":[104],"using":[105],"20,473-image":[107],"gallery.":[108],"approach":[110],"outperforms":[111],"recent":[112],"state-of-the-art":[113],"models":[115],"by":[116],"6%":[117],"Rank-1":[118],"being":[121],"up":[122],"<tex":[124],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[125],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$180":[126],"\\times$</tex>":[127],"faster":[128],"than":[129],"transformer-based":[130],"GAN-based":[132],"solutions.":[133],"also":[135],"release":[136],"generation":[139],"promote":[142],"reproducibility":[143],"benchmarking.":[145],"These":[146],"results":[147],"show":[148],"ResUNet":[150],"reliable":[155],"solution":[156],"operational":[158],"AFIS.":[159]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-11T00:00:00"}
