{"id":"https://openalex.org/W2153096970","doi":"https://doi.org/10.1109/tifs.2010.2056683","title":"On the Dynamic Selection of Biometric Fusion Algorithms","display_name":"On the Dynamic Selection of Biometric Fusion Algorithms","publication_year":2010,"publication_date":"2010-07-19","ids":{"openalex":"https://openalex.org/W2153096970","doi":"https://doi.org/10.1109/tifs.2010.2056683","mag":"2153096970"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2010.2056683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2010.2056683","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":"https://openalex.org/A5050521702","display_name":"Mayank Vatsa","orcid":"https://orcid.org/0000-0001-5952-2274"},"institutions":[{"id":"https://openalex.org/I36090812","display_name":"Netaji Subhas University of Technology","ror":"https://ror.org/01fczmh85","country_code":"IN","type":"education","lineage":["https://openalex.org/I36090812"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mayank Vatsa","raw_affiliation_strings":["Indraprastha Institute of Information, Netaji Subhas Institute of Technology, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information, Netaji Subhas Institute of Technology, New Delhi, India","institution_ids":["https://openalex.org/I36090812"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011779957","display_name":"Richa Singh","orcid":"https://orcid.org/0000-0003-4060-4573"},"institutions":[{"id":"https://openalex.org/I36090812","display_name":"Netaji Subhas University of Technology","ror":"https://ror.org/01fczmh85","country_code":"IN","type":"education","lineage":["https://openalex.org/I36090812"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Richa Singh","raw_affiliation_strings":["Indraprastha Institute of Information, Netaji Subhas Institute of Technology, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information, Netaji Subhas Institute of Technology, New Delhi, India","institution_ids":["https://openalex.org/I36090812"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050320880","display_name":"Afzel Noore","orcid":"https://orcid.org/0000-0002-3406-7487"},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Afzel Noore","raw_affiliation_strings":["Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA","institution_ids":["https://openalex.org/I12097938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061834795","display_name":"Arun Ross","orcid":"https://orcid.org/0000-0001-8850-3013"},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arun Ross","raw_affiliation_strings":["Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA","institution_ids":["https://openalex.org/I12097938"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.3953,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.96337294,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"5","issue":"3","first_page":"470","last_page":"479"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9995999932289124,"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/T10828","display_name":"Biometric Identification and Security","score":0.9955000281333923,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9891999959945679,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8041104078292847},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.659206748008728},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5514076352119446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5397089719772339},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5134606957435608},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5107643604278564},{"id":"https://openalex.org/keywords/fusion-rules","display_name":"Fusion rules","score":0.5082890391349792},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48146381974220276},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4531654417514801},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.44238734245300293},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.42404627799987793},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.4159885346889496},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.182135671377182},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.118024080991745},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10906469821929932}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8041104078292847},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.659206748008728},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5514076352119446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5397089719772339},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5134606957435608},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5107643604278564},{"id":"https://openalex.org/C2778971668","wikidata":"https://www.wikidata.org/wiki/Q5510284","display_name":"Fusion rules","level":4,"score":0.5082890391349792},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48146381974220276},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4531654417514801},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.44238734245300293},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.42404627799987793},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.4159885346889496},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.182135671377182},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.118024080991745},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10906469821929932},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","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":2,"locations":[{"id":"doi:10.1109/tifs.2010.2056683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2010.2056683","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.310.2864","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.310.2864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.msu.edu/~rossarun/pubs/VatsaDynamicSelectionFusion_TIFS2010.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G2492638491","display_name":"CAREER: Human Recognition - Models for Biometric Pattern Representation, Individuality, Indexing and Fusion","funder_award_id":"0642554","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5259331294","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320310260","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43"},{"id":"https://openalex.org/F4320332178","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W11068947","https://openalex.org/W91587930","https://openalex.org/W1489362913","https://openalex.org/W1510601647","https://openalex.org/W1532610158","https://openalex.org/W1578352865","https://openalex.org/W1585588639","https://openalex.org/W1606711602","https://openalex.org/W1782590233","https://openalex.org/W1978948825","https://openalex.org/W1981578346","https://openalex.org/W1989702938","https://openalex.org/W2006793117","https://openalex.org/W2019915615","https://openalex.org/W2032536435","https://openalex.org/W2033419168","https://openalex.org/W2064039105","https://openalex.org/W2083032136","https://openalex.org/W2119970915","https://openalex.org/W2123736354","https://openalex.org/W2129452302","https://openalex.org/W2136251662","https://openalex.org/W2136885397","https://openalex.org/W2137200232","https://openalex.org/W2150498808","https://openalex.org/W2152565110","https://openalex.org/W2156909104","https://openalex.org/W2163808566","https://openalex.org/W2165956633","https://openalex.org/W2799061466","https://openalex.org/W4205392983","https://openalex.org/W4230946174","https://openalex.org/W6655382975","https://openalex.org/W6678466122"],"related_works":["https://openalex.org/W2373269255","https://openalex.org/W2549658594","https://openalex.org/W2204403038","https://openalex.org/W2379054866","https://openalex.org/W2366880779","https://openalex.org/W1969270491","https://openalex.org/W2370181051","https://openalex.org/W3040628111","https://openalex.org/W3098228945","https://openalex.org/W3146358037"],"abstract_inverted_index":{"Biometric":[0],"fusion":[1,26,68,94,115,153],"consolidates":[2],"the":[3,14,21,30,39,47,53,63,76,82,102,110,119,136,140,149,174,179,188,195],"output":[4,54],"of":[5,16,23,32,41,55,65,78,104,112,142,197],"multiple":[6,56],"biometric":[7],"classifiers":[8,151],"to":[9,75,131,157],"render":[10],"a":[11,25,42,66,89,113,126,143],"decision":[12],"about":[13],"identity":[15],"an":[17],"individual.":[18],"We":[19],"consider":[20],"problem":[22],"designing":[24],"scheme":[27,45,92],"when":[28],"1)":[29,109],"number":[31],"training":[33],"samples":[34],"is":[35,97,107,185],"limited,":[36],"thereby":[37,201],"affecting":[38],"use":[40,64],"purely":[43],"density-based":[44],"and":[46,61,138,152,162],"likelihood":[48,120],"ratio":[49,121],"test":[50],"statistic;":[51],"2)":[52,139],"matchers":[57],"yields":[58],"conflicting":[59],"results;":[60],"3)":[62],"single":[67],"rule":[69,95],"may":[70],"not":[71],"be":[72],"practical":[73],"due":[74],"diversity":[77],"scenarios":[79],"encountered":[80],"in":[81,123,135,155,168,194],"probe":[83],"dataset.":[84],"To":[85],"address":[86,178],"these":[87],"issues,":[88],"dynamic":[90,144],"reconciliation":[91],"for":[93,133,205],"selection":[96,145],"proposed.":[98],"In":[99],"this":[100,105],"regard,":[101],"contribution":[103],"paper":[106],"two-fold:":[108],"design":[111,141],"sequential":[114],"technique":[116],"that":[117,147,173,187],"uses":[118],"test-statistic":[122],"conjunction":[124],"with":[125],"support":[127],"vector":[128],"machine":[129],"classifier":[130],"account":[132],"errors":[134],"former;":[137],"algorithm":[146,176],"unifies":[148],"constituent":[150],"schemes":[154],"order":[156],"optimize":[158],"both":[159],"verification":[160],"accuracy":[161],"computational":[163],"cost.":[164],"The":[165],"case":[166],"study":[167],"multiclassifier":[169],"face":[170,207],"recognition":[171],"suggests":[172],"proposed":[175,189],"can":[177],"issues":[180],"listed":[181],"above.":[182],"Indeed,":[183],"it":[184],"observed":[186],"method":[190],"performs":[191],"well":[192],"even":[193],"presence":[196],"confounding":[198],"covariate":[199],"factors":[200],"indicating":[202],"its":[203],"potential":[204],"large-scale":[206],"recognition.":[208]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":7},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}