{"id":"https://openalex.org/W2327556703","doi":"https://doi.org/10.1109/icaci.2016.7449815","title":"A combined KFDA method and GUI realized for face recognition","display_name":"A combined KFDA method and GUI realized for face recognition","publication_year":2016,"publication_date":"2016-02-01","ids":{"openalex":"https://openalex.org/W2327556703","doi":"https://doi.org/10.1109/icaci.2016.7449815","mag":"2327556703"},"language":"en","primary_location":{"id":"doi:10.1109/icaci.2016.7449815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2016.7449815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)","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/A5108047728","display_name":"Xuan Li","orcid":"https://orcid.org/0000-0002-9172-4105"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Li","raw_affiliation_strings":["School of automation Huazhong university of science and technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of automation Huazhong university of science and technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101428481","display_name":"Dehua Li","orcid":"https://orcid.org/0000-0002-3669-7052"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dehua Li","raw_affiliation_strings":["School of automation Huazhong university of science and technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of automation Huazhong university of science and technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.01548589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"124","last_page":"129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991000294685364,"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":0.9991000294685364,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9911999702453613,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9764000177383423,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kernel-fisher-discriminant-analysis","display_name":"Kernel Fisher discriminant analysis","score":0.8316694498062134},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.7542834281921387},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.7541922330856323},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7489054203033447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.743179440498352},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.7239392399787903},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7033319473266602},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.607538104057312},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5859236717224121},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5762518048286438},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5040546655654907},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.45726972818374634},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.42141997814178467},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.411639928817749},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3431716859340668},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2080668807029724},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1736639440059662},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09829971194267273}],"concepts":[{"id":"https://openalex.org/C181367576","wikidata":"https://www.wikidata.org/wiki/Q6394184","display_name":"Kernel Fisher discriminant analysis","level":4,"score":0.8316694498062134},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.7542834281921387},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.7541922330856323},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7489054203033447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.743179440498352},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7239392399787903},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7033319473266602},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.607538104057312},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5859236717224121},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5762518048286438},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5040546655654907},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.45726972818374634},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.42141997814178467},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.411639928817749},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3431716859340668},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2080668807029724},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1736639440059662},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09829971194267273},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaci.2016.7449815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2016.7449815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1978435071","https://openalex.org/W2006021933","https://openalex.org/W2006266957","https://openalex.org/W2012531448","https://openalex.org/W2020285660","https://openalex.org/W2085044339","https://openalex.org/W2108146080","https://openalex.org/W2127889161","https://openalex.org/W2135463994","https://openalex.org/W2138451337","https://openalex.org/W2140095548","https://openalex.org/W2150796457","https://openalex.org/W2152667279","https://openalex.org/W2158271210","https://openalex.org/W2163280874","https://openalex.org/W6678717695"],"related_works":["https://openalex.org/W2905418897","https://openalex.org/W1607829095","https://openalex.org/W3033319502","https://openalex.org/W1982817239","https://openalex.org/W3093470103","https://openalex.org/W2046363782","https://openalex.org/W2375053148","https://openalex.org/W1967057085","https://openalex.org/W1980862902","https://openalex.org/W1995477328"],"abstract_inverted_index":{"Traditional":[0],"face":[1,36,89,146],"recognition":[2,37,66,114,147],"methods":[3],"such":[4],"as":[5,91,134],"Principal":[6],"Components":[7,81],"Analysis(PCA),":[8],"Independent":[9],"Component":[10],"Analysis(ICA)":[11],"and":[12,83,107,125,137,154,158],"Linear":[13],"Discriminant":[14,76],"Analysis(LDA)":[15],"are":[16,96],"linear":[17,31,54],"discriminant":[18],"methods,":[19],"but":[20],"in":[21,148],"the":[22,46,53,113,135,139,143,156],"real":[23],"situation,":[24],"a":[25,65],"lot":[26],"of":[27,49,56,145],"problems":[28],"can't":[29],"be":[30],"discriminated;":[32],"therefore,":[33],"researchers":[34],"proposed":[35],"method":[38,67,124],"based":[39,68],"on":[40,69],"kernel":[41,70,74,79],"techniques":[42],"which":[43,72],"can":[44],"transform":[45],"nonlinear":[47,122],"problem":[48,55],"inputting":[50],"space":[51],"into":[52],"high":[57],"dimensional":[58],"space.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63],"propose":[64],"function":[71],"combines":[73],"Fisher":[75],"Analysis(KFDA)":[77],"with":[78],"Principle":[80],"Analysis(KPCA)":[82],"use":[84,131,138],"typical":[85],"ORL(Olivetti":[86],"Research":[87],"Laboratory)":[88],"database":[90],"our":[92],"experimental":[93],"database.":[94],"There":[95],"four":[97],"key":[98],"steps:":[99],"constructing":[100],"feature":[101,105,127],"subspace,":[102],"image":[103,108],"projection,":[104],"extraction":[106,128],"recognition.":[109],"We":[110,130],"found":[111],"that":[112],"accuracy":[115],"has":[116],"been":[117],"greatly":[118],"improved":[119],"by":[120],"using":[121],"identification":[123],"combined":[126],"methods.":[129],"MATLAB":[132],"software":[133],"platform,":[136],"GUI":[140],"to":[141,150],"demonstrate":[142],"process":[144,157],"order":[149],"achieving":[151],"human-computer":[152],"interaction":[153],"making":[155],"result":[159],"more":[160],"intuitive.":[161]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}