{"id":"https://openalex.org/W2989812093","doi":"https://doi.org/10.1109/ijcb48548.2020.9304918","title":"White-Box Evaluation of Fingerprint Matchers: Robustness to Minutiae Perturbations","display_name":"White-Box Evaluation of Fingerprint Matchers: Robustness to Minutiae Perturbations","publication_year":2020,"publication_date":"2020-09-28","ids":{"openalex":"https://openalex.org/W2989812093","doi":"https://doi.org/10.1109/ijcb48548.2020.9304918","mag":"2989812093"},"language":"en","primary_location":{"id":"doi:10.1109/ijcb48548.2020.9304918","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb48548.2020.9304918","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1909.00799","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027893701","display_name":"Steven A. Grosz","orcid":"https://orcid.org/0000-0002-9186-3543"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Steven A. Grosz","raw_affiliation_strings":["Michigan State University, East Lansing, MI","\u2002Michigan State University"],"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"\u2002Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015429161","display_name":"Joshua J. Engelsma","orcid":"https://orcid.org/0000-0002-2264-8313"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua J. Engelsma","raw_affiliation_strings":["Michigan State University, East Lansing, MI","\u2002Michigan State University"],"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"\u2002Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016401002","display_name":"Nicholas G. Paulter","orcid":"https://orcid.org/0000-0002-9782-0894"},"institutions":[{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]},{"id":"https://openalex.org/I4210124755","display_name":"National Institute of Standards","ror":"https://ror.org/02zftm050","country_code":"EG","type":"facility","lineage":["https://openalex.org/I4210124755"]}],"countries":["EG","US"],"is_corresponding":false,"raw_author_name":"Nicholas G. Paulter","raw_affiliation_strings":["National Institute of Standards and Technology, Gaithersburg, Maryland","National Institute of Standards and Technology"],"affiliations":[{"raw_affiliation_string":"National Institute of Standards and Technology, Gaithersburg, Maryland","institution_ids":["https://openalex.org/I1321296531"]},{"raw_affiliation_string":"National Institute of Standards and Technology","institution_ids":["https://openalex.org/I4210124755","https://openalex.org/I1321296531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100613677","display_name":"Anil K. Jain","orcid":"https://orcid.org/0000-0002-6369-6995"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anil K. Jain","raw_affiliation_strings":["Michigan State University, East Lansing, MI","\u2002Michigan State University"],"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"\u2002Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027893701"],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":0.1521,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39229867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","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":1.0,"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":1.0,"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/T11800","display_name":"User Authentication and Security Systems","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9800999760627747,"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/minutiae","display_name":"Minutiae","score":0.9756945371627808},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.6914049386978149},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6608220338821411},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6434518098831177},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.6193687319755554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6104128360748291},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6028751730918884},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5588149428367615},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45991626381874084},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4474228024482727},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.4100016951560974},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3481326997280121},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08570268750190735}],"concepts":[{"id":"https://openalex.org/C67174900","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Minutiae","level":4,"score":0.9756945371627808},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.6914049386978149},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6608220338821411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6434518098831177},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6193687319755554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6104128360748291},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6028751730918884},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5588149428367615},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45991626381874084},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4474228024482727},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.4100016951560974},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3481326997280121},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08570268750190735},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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":4,"locations":[{"id":"doi:10.1109/ijcb48548.2020.9304918","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb48548.2020.9304918","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1909.00799","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1909.00799","pdf_url":"https://arxiv.org/pdf/1909.00799","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1909.00799","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1909.00799","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":"article"},{"id":"mag:2989812093","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1909.00799","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1909.00799","pdf_url":"https://arxiv.org/pdf/1909.00799","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3283279424","display_name":null,"funder_award_id":"70NANB17H027","funder_id":"https://openalex.org/F4320332178","funder_display_name":"National Institute of Standards and Technology"}],"funders":[{"id":"https://openalex.org/F4320332178","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2989812093.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1496514956","https://openalex.org/W1526254449","https://openalex.org/W1548645370","https://openalex.org/W1569096659","https://openalex.org/W1589791259","https://openalex.org/W1639795441","https://openalex.org/W1972108333","https://openalex.org/W1988575427","https://openalex.org/W1994049097","https://openalex.org/W2003178620","https://openalex.org/W2004180890","https://openalex.org/W2067207263","https://openalex.org/W2074752705","https://openalex.org/W2118498934","https://openalex.org/W2125125669","https://openalex.org/W2126870276","https://openalex.org/W2128409098","https://openalex.org/W2134934914","https://openalex.org/W2136563054","https://openalex.org/W2146112636","https://openalex.org/W2148654711","https://openalex.org/W2152535543","https://openalex.org/W2153717930","https://openalex.org/W2160367574","https://openalex.org/W2183184658","https://openalex.org/W2435004937","https://openalex.org/W2550968938","https://openalex.org/W2607173556","https://openalex.org/W2618277480","https://openalex.org/W2623704255","https://openalex.org/W2760099453","https://openalex.org/W2944406254","https://openalex.org/W2947373936","https://openalex.org/W2963012812","https://openalex.org/W2996883050","https://openalex.org/W3006568837","https://openalex.org/W3137757762","https://openalex.org/W4230579564","https://openalex.org/W6680080054","https://openalex.org/W6791701839"],"related_works":["https://openalex.org/W3118802861","https://openalex.org/W2971552127","https://openalex.org/W2071203477","https://openalex.org/W2996133686","https://openalex.org/W1676325688","https://openalex.org/W1570615827","https://openalex.org/W2760099453","https://openalex.org/W2301768062","https://openalex.org/W3020860861","https://openalex.org/W3047316039","https://openalex.org/W1486296027","https://openalex.org/W2186617859","https://openalex.org/W2068753100","https://openalex.org/W2168295489","https://openalex.org/W1538995036","https://openalex.org/W2386547812","https://openalex.org/W3144414385","https://openalex.org/W2129126521","https://openalex.org/W2943055801","https://openalex.org/W2536401786"],"abstract_inverted_index":{"Prevailing":[0],"evaluations":[1,46,67,87,132],"of":[2,13,21,32,57,68,76,88,96,101,112,137,157],"fingerprint":[3,14,37,70,77,90,138],"recognition":[4,78],"systems":[5],"have":[6,64],"been":[7,83],"performed":[8],"as":[9],"end-to-end":[10,23],"black-box":[11],"tests":[12],"identification":[15],"or":[16],"authentication":[17],"accuracy.":[18],"However,":[19],"performance":[20,136],"the":[22,54,69,89,125,135,158],"system":[24],"is":[25],"subject":[26],"to":[27,144],"errors":[28],"arising":[29],"in":[30,110],"any":[31],"its":[33],"constituent":[34],"modules,":[35],"including:":[36],"scanning,":[38],"preprocessing,":[39],"feature":[40,73,128],"extraction,":[41],"and":[42,72,104,120,147,153],"matching.":[43],"Conversely,":[44],"white-box":[45,86,99,131],"provide":[47],"a":[48,58,61,97],"more":[49,142],"granular":[50],"evaluation":[51,100],"by":[52],"studying":[53],"individual":[55],"subcomponents":[56],"system.":[59],"While":[60],"few":[62],"studies":[63],"conducted":[65],"stand-alone":[66],"reader":[71],"extraction":[74],"modules":[75],"systems,":[79],"little":[80],"work":[81],"has":[82],"devoted":[84],"towards":[85],"matching":[91],"module.":[92],"We":[93],"report":[94],"results":[95],"controlled,":[98],"one":[102],"open-source":[103],"two":[105],"commercial-off-the-shelf":[106],"(COTS)":[107],"minutiae-based":[108],"matchers":[109,140],"terms":[111],"their":[113],"robustness":[114],"against":[115],"controlled":[116],"perturbations":[117],"(random":[118],"noise":[119],"non-linear":[121,145],"distortions)":[122],"introduced":[123],"into":[124],"input":[126],"minutiae":[127,139,149,152,159],"sets.":[129],"Our":[130],"reveal":[133],"that":[134],"are":[141],"susceptible":[143],"distortion":[146],"missing":[148],"than":[150],"spurious":[151],"small":[154],"positional":[155],"displacements":[156],"locations.":[160]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
