{"id":"https://openalex.org/W2896752822","doi":"https://doi.org/10.1109/fuzz-ieee.2018.8491508","title":"Continuous biometric authentication using Possibilistic C-Means","display_name":"Continuous biometric authentication using Possibilistic C-Means","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2896752822","doi":"https://doi.org/10.1109/fuzz-ieee.2018.8491508","mag":"2896752822"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2018.8491508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2018.8491508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5024638119","display_name":"Matheus Santos","orcid":null},"institutions":[{"id":"https://openalex.org/I126158947","display_name":"Universidade Federal da Bahia","ror":"https://ror.org/03k3p7647","country_code":"BR","type":"education","lineage":["https://openalex.org/I126158947"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Matheus Magalhaes Batista dos Santos","raw_affiliation_strings":["Department of Computer Science, Federal University of Bahia, Salvador, Bahia, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Federal University of Bahia, Salvador, Bahia, Brazil","institution_ids":["https://openalex.org/I126158947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077742059","display_name":"Maur\u00edcio Pamplona Segundo","orcid":"https://orcid.org/0000-0003-4529-5757"},"institutions":[{"id":"https://openalex.org/I126158947","display_name":"Universidade Federal da Bahia","ror":"https://ror.org/03k3p7647","country_code":"BR","type":"education","lineage":["https://openalex.org/I126158947"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Mauricio Pamplona Segundo","raw_affiliation_strings":["Department of Computer Science, Federal University of Bahia, Salvador, Bahia, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Federal University of Bahia, Salvador, Bahia, Brazil","institution_ids":["https://openalex.org/I126158947"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024638119"],"corresponding_institution_ids":["https://openalex.org/I126158947"],"apc_list":null,"apc_paid":null,"fwci":0.3303,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57070874,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"500","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998000264167786,"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/T11800","display_name":"User Authentication and Security Systems","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.9410706758499146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6855624914169312},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.6580560207366943},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5362628698348999},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4729849100112915},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47067007422447205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44824251532554626},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42590975761413574},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39586538076400757},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.23764261603355408}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.9410706758499146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6855624914169312},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.6580560207366943},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5362628698348999},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4729849100112915},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47067007422447205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44824251532554626},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42590975761413574},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39586538076400757},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.23764261603355408},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2018.8491508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2018.8491508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1483327747","https://openalex.org/W1554644425","https://openalex.org/W1782590233","https://openalex.org/W1977485005","https://openalex.org/W1983159352","https://openalex.org/W2015506381","https://openalex.org/W2018953708","https://openalex.org/W2021688193","https://openalex.org/W2050206664","https://openalex.org/W2076047580","https://openalex.org/W2082642645","https://openalex.org/W2085810284","https://openalex.org/W2089683591","https://openalex.org/W2120688485","https://openalex.org/W2125836384","https://openalex.org/W2132123667","https://openalex.org/W2137659841","https://openalex.org/W2140959843","https://openalex.org/W2157298821","https://openalex.org/W2158176328","https://openalex.org/W2341528187","https://openalex.org/W2396609477","https://openalex.org/W2512997012","https://openalex.org/W2562863628","https://openalex.org/W2791894085","https://openalex.org/W2963460857","https://openalex.org/W3101998545","https://openalex.org/W6655277162","https://openalex.org/W6712644721","https://openalex.org/W6731068170"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2379932303","https://openalex.org/W3147744369","https://openalex.org/W4241440711","https://openalex.org/W2062586268","https://openalex.org/W2019582947","https://openalex.org/W3212688212","https://openalex.org/W4300873085","https://openalex.org/W3104966193"],"abstract_inverted_index":{"We":[0,100],"propose":[1],"a":[2,22,30,57,66,117],"continuous":[3],"biometric":[4,33,48,91],"authentication":[5],"framework":[6],"that":[7,16,81,93],"uses":[8],"the":[9,46,69,72],"Possibilistic":[10],"C-Means":[11],"(PCM)":[12],"algorithm":[13],"to":[14,28,50,64,89,116],"guarantee":[15],"only":[17],"authorized":[18],"users":[19],"can":[20,94],"access":[21],"protected":[23],"system.":[24,73],"PCM":[25],"is":[26,53,60,80,83,87],"employed":[27],"cluster":[29],"history":[31],"of":[32,43,45,71,77,110],"samples":[34],"in":[35],"two":[36],"classes:":[37],"genuine":[38],"and":[39,85,107,112],"impostor.":[40],"The":[41,74],"degree":[42],"membership":[44],"current":[47],"sample":[49],"those":[51],"classes":[52],"then":[54],"used":[55],"as":[56],"score,":[58],"which":[59],"fused":[61],"over":[62],"time":[63],"reach":[65],"decision":[67],"regarding":[68],"safety":[70],"main":[75],"advantage":[76],"our":[78,102],"approach":[79],"it":[82],"training-free,":[84],"thus":[86],"applicable":[88],"any":[90],"feature":[92],"be":[95],"captured":[96],"continuously":[97],"without":[98],"modification.":[99],"evaluated":[101],"system":[103],"using":[104],"2D,":[105],"3D":[106],"NIR":[108],"videos":[109],"faces":[111],"achieved":[113],"results":[114],"comparable":[115],"training-based":[118],"state-of-art":[119],"work.":[120]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
