{"id":"https://openalex.org/W7106116601","doi":"https://doi.org/10.1109/tifs.2025.3635485","title":"CRM-NAS: A Structure-Adaptive and Attention-Based Approach for Fingerprint Reconstruction From Noisy OCT Data","display_name":"CRM-NAS: A Structure-Adaptive and Attention-Based Approach for Fingerprint Reconstruction From Noisy OCT Data","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7106116601","doi":"https://doi.org/10.1109/tifs.2025.3635485"},"language":null,"primary_location":{"id":"doi:10.1109/tifs.2025.3635485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2025.3635485","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Transactions on Information Forensics and Security","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":null,"display_name":"Haohao Sun","orcid":"https://orcid.org/0000-0002-6985-8596"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haohao Sun","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6985-8596","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Sihan Lan","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sihan Lan","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Haixia Wang","orcid":"https://orcid.org/0000-0002-2378-2725"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixia Wang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2378-2725","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yilong Zhang","orcid":"https://orcid.org/0000-0002-1510-5097"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilong Zhang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1510-5097","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yi-Peng Liu","orcid":"https://orcid.org/0000-0001-8658-5764"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi-Peng Liu","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8658-5764","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Peng Chen","orcid":"https://orcid.org/0000-0001-6122-0574"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Chen","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6122-0574","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ronghua Liang","orcid":"https://orcid.org/0000-0003-2077-9608"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronghua Liang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2077-9608","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.48437034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":null,"first_page":"12841","last_page":"12856"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11569","display_name":"Optical Coherence Tomography Applications","score":0.5490999817848206,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11569","display_name":"Optical Coherence Tomography Applications","score":0.5490999817848206,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.35249999165534973,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.009700000286102295,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6047999858856201},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5795999765396118},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.5260000228881836},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.454800009727478},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.41780000925064087},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.41769999265670776},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.4169999957084656},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4124000072479248},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.4097999930381775}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8432000279426575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7850000262260437},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6047999858856201},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5855000019073486},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5795999765396118},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.5260000228881836},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.454800009727478},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.41780000925064087},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.41769999265670776},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.4169999957084656},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4124000072479248},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.4097999930381775},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.39879998564720154},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3668000102043152},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3601999878883362},{"id":"https://openalex.org/C2778818243","wikidata":"https://www.wikidata.org/wiki/Q899552","display_name":"Optical coherence tomography","level":2,"score":0.3513999879360199},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.33559998869895935},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.3100000023841858},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.305400013923645},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2842000126838684},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.28209999203681946},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.267300009727478},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.25949999690055847},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.25609999895095825}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2025.3635485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2025.3635485","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Transactions on Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2903071488","display_name":null,"funder_award_id":"LR24F030003","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G3919400197","display_name":null,"funder_award_id":"LD24F020005","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G4198252095","display_name":null,"funder_award_id":"62376251","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4778390635","display_name":null,"funder_award_id":"62406283","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7850665711","display_name":null,"funder_award_id":"62276236","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8087274246","display_name":null,"funder_award_id":"62376250","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1523682477","https://openalex.org/W1821462560","https://openalex.org/W1969793586","https://openalex.org/W2059067639","https://openalex.org/W2127199481","https://openalex.org/W2140959843","https://openalex.org/W2154691736","https://openalex.org/W2193565118","https://openalex.org/W2194775991","https://openalex.org/W2540540701","https://openalex.org/W2553303224","https://openalex.org/W2565813159","https://openalex.org/W2618277480","https://openalex.org/W2629843736","https://openalex.org/W2884436604","https://openalex.org/W2888990832","https://openalex.org/W2927980542","https://openalex.org/W2941328847","https://openalex.org/W2959334635","https://openalex.org/W2998801131","https://openalex.org/W3017850177","https://openalex.org/W3034609471","https://openalex.org/W3041955635","https://openalex.org/W3049644255","https://openalex.org/W3081752372","https://openalex.org/W3092052974","https://openalex.org/W3096533519","https://openalex.org/W3096947210","https://openalex.org/W3123961948","https://openalex.org/W3161622425","https://openalex.org/W3171948639","https://openalex.org/W3172317602","https://openalex.org/W3175794661","https://openalex.org/W3180930282","https://openalex.org/W3192682950","https://openalex.org/W4232109309","https://openalex.org/W4244925840","https://openalex.org/W4293261801","https://openalex.org/W4296473289","https://openalex.org/W4311412720","https://openalex.org/W4313053893","https://openalex.org/W4328108640","https://openalex.org/W4379117145","https://openalex.org/W4384161760","https://openalex.org/W4385245566","https://openalex.org/W4386083031","https://openalex.org/W4389104660","https://openalex.org/W4390738800","https://openalex.org/W4397000886","https://openalex.org/W4399978664","https://openalex.org/W4405270969","https://openalex.org/W4409916807"],"related_works":[],"abstract_inverted_index":{"As":[0],"essential":[1],"biometric":[2],"features,":[3],"fingerprints":[4],"have":[5],"been":[6],"widely":[7],"utilized":[8],"in":[9,34,72,94,210],"various":[10],"security":[11],"domains.":[12],"However,":[13,83],"the":[14,26,29,42,77,84,98,111,146,157,192],"performance":[15],"of":[16,28,81,86,101,113,160,194,212],"conventional":[17],"Automated":[18],"Fingerprint":[19],"Identification":[20],"Systems":[21],"(AFISs)":[22],"is":[23,172],"limited":[24],"by":[25,47,91,179],"quality":[27],"external":[30],"fingerprint":[31,44,216],"(EF),":[32],"particularly":[33],"cases":[35],"involving":[36],"damaged":[37],"or":[38],"deformed":[39],"prints.":[40],"Using":[41],"internal":[43,126,138,162,198],"(IF)":[45],"acquired":[46],"Optical":[48],"Coherence":[49],"Tomography":[50],"(OCT)":[51],"to":[52,143,174,190],"address":[53],"these":[54],"limitations":[55],"has":[56],"emerged":[57],"as":[58,131],"a":[59,119,136,225],"promising":[60],"method.":[61],"IFs":[62],"can":[63],"compensate":[64],"for":[65],"and":[66,106,149,189,196,219],"restore":[67],"missing":[68],"ridge":[69],"pattern":[70],"features":[71,183],"degraded":[73],"EFs,":[74],"thereby":[75],"improving":[76],"overall":[78],"recognition":[79],"accuracy":[80],"AFIS.":[82],"reconstruction":[85,217],"IF":[87],"was":[88],"significantly":[89],"constrained":[90],"speckle":[92],"noise":[93],"OCT":[95,114,124,153],"images,":[96],"making":[97],"accurate":[99,197],"extraction":[100,140,214],"finger":[102],"tissue":[103],"contours":[104],"complex":[105],"computationally":[107],"intensive.":[108],"To":[109],"improve":[110],"applicability":[112],"fingerprint,":[115],"this":[116],"paper":[117],"proposes":[118],"Neural":[120],"Architecture":[121],"Search":[122],"(NAS)-based":[123],"fingertip":[125,154],"contour":[127,163,168,177,213],"regression":[128,169],"network,":[129],"denoted":[130],"CRM-NAS.":[132],"The":[133],"CRM-NAS":[134,204],"employs":[135],"NAS-based":[137],"feature":[139],"module":[141,170],"(NAS-IEM)":[142],"adaptively":[144],"optimize":[145],"network":[147,187],"architecture":[148],"complexity":[150],"with":[151],"noisy":[152],"data,":[155],"facilitating":[156],"effective":[158],"capture":[159],"global":[161],"features.":[164],"Furthermore,":[165],"an":[166],"attention-based":[167],"(Att-CRM)":[171],"introduced":[173],"refine":[175],"local":[176],"details":[178],"leveraging":[180],"multi-scale":[181],"intermediate":[182],"extracted":[184],"from":[185],"different":[186],"layers":[188],"enable":[191],"generation":[193],"continuous":[195],"contours.":[199],"Experimental":[200],"results":[201],"demonstrate":[202],"that":[203],"not":[205],"only":[206],"outperforms":[207],"existing":[208],"methods":[209],"terms":[211],"accuracy,":[215],"quality,":[218],"verification":[220],"performance,":[221],"but":[222],"also":[223],"maintains":[224],"relatively":[226],"compact":[227],"parameter":[228],"size.":[229]},"counts_by_year":[],"updated_date":"2025-12-13T23:11:00.310470","created_date":"2025-11-20T00:00:00"}
