{"id":"https://openalex.org/W2018481933","doi":"https://doi.org/10.1109/icacia.2008.4769972","title":"Study on Multi-Biometric Feature Fusion and Recognition Model","display_name":"Study on Multi-Biometric Feature Fusion and Recognition Model","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2018481933","doi":"https://doi.org/10.1109/icacia.2008.4769972","mag":"2018481933"},"language":"en","primary_location":{"id":"doi:10.1109/icacia.2008.4769972","doi":"https://doi.org/10.1109/icacia.2008.4769972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacia.2008.4769972","pdf_url":null,"source":{"id":"https://openalex.org/S4306423272","display_name":"International Conference on Apperceiving Computing and Intelligence Analysis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 International Conference on Apperceiving Computing and Intelligence Analysis","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5109919594","display_name":"Jia Jie Cui","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Cui","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Electronic Science and Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Electronic Science and Technology, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100692320","display_name":"Jianping Li","orcid":"https://orcid.org/0000-0003-2192-1450","observed_orcids":["https://orcid.org/0000-0003-2192-1450","https://orcid.org/0000-0002-8117-9449"]},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I52604927","display_name":"PLA Army Service Academy","ror":"https://ror.org/02syyrn67","country_code":"CN","type":"education","lineage":["https://openalex.org/I52604927"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian-Ping Li","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Electronic Science and Technology, Chengdu, China","Intemational Centre for Wavelet Analysis and Its Applications, Logistical Engineering University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Electronic Science and Technology, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Intemational Centre for Wavelet Analysis and Its Applications, Logistical Engineering University, Chongqing, China","institution_ids":["https://openalex.org/I52604927"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076575553","display_name":"Xiaojun Lu","orcid":"https://orcid.org/0000-0002-2051-4290","observed_orcids":["https://orcid.org/0000-0002-2051-4290"]},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Jun Lu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Electronic Science and Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Electronic Science and Technology, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9171,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.8404929,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"66","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9429000020027161,"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":0.9429000020027161,"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/T10057","display_name":"Face and Expression Recognition","score":0.04309999942779541,"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/T11448","display_name":"Face recognition and analysis","score":0.007300000172108412,"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/multi-biometric-fusion","display_name":"multi-biometric fusion","score":0.8140000104904175},{"id":"https://openalex.org/keywords/face-recognition","display_name":"face recognition","score":0.8939999938011169},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"iris recognition","score":1.0},{"id":"https://openalex.org/keywords/feature-fusion","display_name":"feature fusion","score":0.8080000281333923},{"id":"https://openalex.org/keywords/biometric-recognition","display_name":"biometric identification","score":0.6949999928474426},{"id":"https://openalex.org/keywords/nearest-neighbor-classification","display_name":"nearest neighbor classification","score":0.699999988079071}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.78105628490448},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7780084609985352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7412643432617188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6692020893096924},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6492064595222473},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6403040289878845},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6324504613876343},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6081423163414001},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.48647233843803406},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.46458274126052856},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4189629554748535},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.382683128118515},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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":1,"locations":[{"id":"doi:10.1109/icacia.2008.4769972","doi":"https://doi.org/10.1109/icacia.2008.4769972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacia.2008.4769972","pdf_url":null,"source":{"id":"https://openalex.org/S4306423272","display_name":"International Conference on Apperceiving Computing and Intelligence Analysis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 International Conference on Apperceiving Computing and Intelligence Analysis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1805888261","https://openalex.org/W2005262108","https://openalex.org/W2013199754","https://openalex.org/W2061272711","https://openalex.org/W2068723942","https://openalex.org/W2120433720","https://openalex.org/W2136461127","https://openalex.org/W2142438183"],"related_works":["https://openalex.org/W2366725889","https://openalex.org/W2142438183","https://openalex.org/W2043387975","https://openalex.org/W2393642536","https://openalex.org/W4242141998","https://openalex.org/W2254617481","https://openalex.org/W2376877038","https://openalex.org/W957288517","https://openalex.org/W2066622129","https://openalex.org/W2946229423"],"abstract_inverted_index":{"The":[0],"single":[1],"biometric":[2,14],"identification":[3,17,29],"technology":[4],"has":[5],"the":[6,23,61,64,73,97,117,124],"inherent":[7],"and":[8,16,25,45,49,53,63,83],"difficult":[9],"overcoming":[10],"shortcomings,":[11],"so":[12,101],"multi-modal":[13],"fusion":[15,48],"techniques":[18],"were":[19],"proposed":[20,33],"to":[21,59,93,96],"improve":[22],"performance":[24],"accurate":[26],"rate":[27,126],"of":[28,119],"system.":[30],"This":[31],"paper":[32],"a":[34,85,102],"model":[35],"combined":[36,86,98],"with":[37],"2-dimensional":[38],"Fisher":[39],"linear":[40],"discriminant":[41],"analysis":[42],"for":[43],"face":[44,52],"iris":[46,54],"feature":[47,68,76,87,94,99,104],"recognition.":[50,120],"First":[51],"images":[55],"are":[56,70,78],"compressed":[57],"respectively":[58],"preprocess":[60],"images,":[62],"two":[65,74],"corresponding":[66],"original":[67,75],"matrixes":[69,77],"obtained.":[71],"Then":[72],"integrated":[79],"into":[80],"one":[81],"matrix,":[82,100],"formed":[84],"matrix.":[88],"Third":[89],"2DFLD":[90],"is":[91,106,114,127],"applied":[92,115],"extraction":[95],"fused":[103],"matrix":[105],"constructed.":[107],"At":[108],"last,":[109],"nearest":[110],"neighbor":[111],"decision":[112],"rule":[113],"in":[116],"process":[118],"Experiment":[121],"results":[122],"show":[123],"recognition":[125],"greatly":[128],"improved.":[129]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":1}],"updated_date":"2026-11-05T12:25:35.769452","created_date":"2016-06-24T00:00:00"}