{"id":"https://openalex.org/W4392411897","doi":"https://doi.org/10.1109/ijcb57857.2023.10448697","title":"MRA-GNN: Minutiae Relation-Aware Model over Graph Neural Network for Fingerprint Embedding","display_name":"MRA-GNN: Minutiae Relation-Aware Model over Graph Neural Network for Fingerprint Embedding","publication_year":2023,"publication_date":"2023-09-25","ids":{"openalex":"https://openalex.org/W4392411897","doi":"https://doi.org/10.1109/ijcb57857.2023.10448697"},"language":"en","primary_location":{"id":"doi:10.1109/ijcb57857.2023.10448697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb57857.2023.10448697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Joint Conference on Biometrics (IJCB)","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/A5112972258","display_name":"Yapeng Su","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yapeng Su","raw_affiliation_strings":["University of Chinese Academy of Sciences,School of Mathematical Sciences,China","School of Mathematical Sciences, University of Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,School of Mathematical Sciences,China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"School of Mathematical Sciences, University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035766567","display_name":"Tong Zhao","orcid":"https://orcid.org/0000-0001-7660-1732"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Zhao","raw_affiliation_strings":["University of Chinese Academy of Sciences,School of Mathematical Sciences,China","School of Mathematical Sciences, University of Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,School of Mathematical Sciences,China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"School of Mathematical Sciences, University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101797192","display_name":"Zicheng Zhang","orcid":"https://orcid.org/0000-0002-7247-7938"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zicheng Zhang","raw_affiliation_strings":["University of Chinese Academy of Sciences,School of Mathematical Sciences,China","School of Mathematical Sciences, University of Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,School of Mathematical Sciences,China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"School of Mathematical Sciences, University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112972258"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":1.2218,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81000496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998000264167786,"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":0.9998000264167786,"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/T11448","display_name":"Face recognition and analysis","score":0.9918000102043152,"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/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9890000224113464,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/minutiae","display_name":"Minutiae","score":0.8408330082893372},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7011262774467468},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6011530160903931},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.5892333388328552},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5878093242645264},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.572272539138794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.555927574634552},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5434099435806274},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.5144526958465576},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4410736560821533},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.275024950504303},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20909518003463745}],"concepts":[{"id":"https://openalex.org/C67174900","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Minutiae","level":4,"score":0.8408330082893372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7011262774467468},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6011530160903931},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.5892333388328552},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5878093242645264},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.572272539138794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.555927574634552},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5434099435806274},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.5144526958465576},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4410736560821533},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.275024950504303},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20909518003463745}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcb57857.2023.10448697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb57857.2023.10448697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1501856433","https://openalex.org/W1569096659","https://openalex.org/W1662382123","https://openalex.org/W2096733369","https://openalex.org/W2139906443","https://openalex.org/W2140371390","https://openalex.org/W2145287260","https://openalex.org/W2160367574","https://openalex.org/W2194775991","https://openalex.org/W2787349189","https://openalex.org/W2899663614","https://openalex.org/W2902383220","https://openalex.org/W2943605315","https://openalex.org/W2962711740","https://openalex.org/W2964015378","https://openalex.org/W2964051675","https://openalex.org/W2975084324","https://openalex.org/W2979750740","https://openalex.org/W2990045899","https://openalex.org/W2996883050","https://openalex.org/W3006445329","https://openalex.org/W3120240533","https://openalex.org/W4213446162","https://openalex.org/W4225665842","https://openalex.org/W4226204352","https://openalex.org/W4294558607","https://openalex.org/W4307473288","https://openalex.org/W4312752593","https://openalex.org/W4316924364","https://openalex.org/W4316924442","https://openalex.org/W4320167334","https://openalex.org/W4367055902","https://openalex.org/W6637178625","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6754929296","https://openalex.org/W6755977528","https://openalex.org/W6847249830","https://openalex.org/W6848935878"],"related_works":["https://openalex.org/W2124627279","https://openalex.org/W2566091814","https://openalex.org/W1540357037","https://openalex.org/W2017764875","https://openalex.org/W2087945608","https://openalex.org/W2126450185","https://openalex.org/W3169072271","https://openalex.org/W1676325688","https://openalex.org/W3037288134","https://openalex.org/W2082047178"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"has":[2],"achieved":[3],"remarkable":[4],"results":[5,179],"in":[6,14,39,80,97,163,198],"fingerprint":[7,62,81,95,106,123,152,190],"embedding,":[8,63],"which":[9,41],"plays":[10],"a":[11,58,77,119,139],"critical":[12],"role":[13],"modern":[15],"Automated":[16],"Fingerprint":[17],"Identification":[18],"Systems.":[19],"However,":[20],"previous":[21],"works":[22],"including":[23],"CNN-based":[24],"and":[25,37,48,87,108,114,117,122,130,145,170],"Transformer-based":[26],"approaches":[27],"fail":[28],"to":[29,44,83,125,149],"exploit":[30],"the":[31,46,85,98,127,151,160,193],"nonstructural":[32,200],"data,":[33],"such":[34],"as":[35,112],"topology":[36,86],"correlation":[38,88,131],"fingerprints,":[40],"is":[42],"essential":[43],"facilitate":[45],"identifiability":[47],"robustness":[49],"of":[50,89,100,133,195,202],"embedding.":[51,102],"To":[52,158],"address":[53],"this":[54],"challenge,":[55],"we":[56,104,166],"propose":[57],"novel":[59],"paradigm":[60],"for":[61],"called":[64],"Minutiae":[65],"Relation-Aware":[66],"model":[67],"over":[68],"Graph":[69],"Neural":[70],"Network":[71],"(MRA-GNN).":[72],"Our":[73],"proposed":[74,175,183],"approach":[75,184,197],"incorporates":[76],"GNN-based":[78],"framework":[79],"embedding":[82,153],"encode":[84],"fingerprints":[90],"into":[91,174],"descriptive":[92],"features,":[93],"achieving":[94],"representation":[96],"form":[99],"graph":[101,121,124,171],"Specifically,":[103],"reinterpret":[105],"data":[107],"their":[109],"relative":[110],"connections":[111,173],"vertices":[113],"edges":[115],"respectively,":[116],"introduce":[118],"minutia":[120],"represent":[126],"topological":[128],"relations":[129],"structures":[132],"fingerprints.":[134,203],"We":[135],"equip":[136],"MRA-GNN":[137],"with":[138],"Topological":[140],"relation":[141],"Reasoning":[142],"Module":[143,147,169],"(TRM)":[144],"Correlation-Aware":[146],"(CAM)":[148],"learn":[150],"from":[154],"these":[155],"graphs":[156],"successfully.":[157],"tackle":[159],"over-smoothing":[161],"problem":[162],"GNN":[164],"models,":[165],"incorporate":[167],"Feed-Forward":[168],"residual":[172],"modules.":[176],"The":[177],"experimental":[178],"demonstrate":[180],"that":[181],"our":[182,196],"outperforms":[185],"state-of-the-art":[186],"methods":[187],"on":[188],"various":[189],"datasets,":[191],"indicating":[192],"effectiveness":[194],"exploiting":[199],"information":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-05T09:29:38.588285","created_date":"2025-10-10T00:00:00"}
