{"id":"https://openalex.org/W2810429154","doi":"https://doi.org/10.1109/fskd.2017.8393308","title":"A face recognition hybrid algorithm by combining LDA with PNN","display_name":"A face recognition hybrid algorithm by combining LDA with PNN","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2810429154","doi":"https://doi.org/10.1109/fskd.2017.8393308","mag":"2810429154"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2017.8393308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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/A5087964617","display_name":"Aijia Ouyang","orcid":"https://orcid.org/0000-0003-1436-0835"},"institutions":[{"id":"https://openalex.org/I4210091787","display_name":"Zunyi Normal College","ror":"https://ror.org/00g2pnp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210091787"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Aijia Ouyang","raw_affiliation_strings":["Department of Information Engineering, Zunyi Normal University, Zunyi, Guizhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Zunyi Normal University, Zunyi, Guizhou, China","institution_ids":["https://openalex.org/I4210091787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006726057","display_name":"Shengyu Pei","orcid":"https://orcid.org/0000-0003-0924-3079"},"institutions":[{"id":"https://openalex.org/I163732180","display_name":"Guangxi University of Finance and Economics","ror":"https://ror.org/02ayg6516","country_code":"CN","type":"education","lineage":["https://openalex.org/I163732180"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengyu Pei","raw_affiliation_strings":["Fangchenggang College, Guangxi University of Finance and Economics, Nanning, China"],"affiliations":[{"raw_affiliation_string":"Fangchenggang College, Guangxi University of Finance and Economics, Nanning, China","institution_ids":["https://openalex.org/I163732180"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341470","display_name":"Ya Wang","orcid":"https://orcid.org/0000-0003-4353-4638"},"institutions":[{"id":"https://openalex.org/I4210091787","display_name":"Zunyi Normal College","ror":"https://ror.org/00g2pnp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210091787"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ya Wang","raw_affiliation_strings":["Department of Information Engineering, Zunyi Normal University, Zunyi, Guizhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Zunyi Normal University, Zunyi, Guizhou, China","institution_ids":["https://openalex.org/I4210091787"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073097945","display_name":"Xuyu Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091787","display_name":"Zunyi Normal College","ror":"https://ror.org/00g2pnp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210091787"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuyu Peng","raw_affiliation_strings":["Department of Information Engineering, Zunyi Normal University, Zunyi, Guizhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Zunyi Normal University, Zunyi, Guizhou, China","institution_ids":["https://openalex.org/I4210091787"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087964617"],"corresponding_institution_ids":["https://openalex.org/I4210091787"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24384155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"87","issue":null,"first_page":"438","last_page":"443"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"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":0.9984999895095825,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/probabilistic-neural-network","display_name":"Probabilistic neural network","score":0.8166022896766663},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.7992503643035889},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.77403724193573},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6983262300491333},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6784055829048157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.640444815158844},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6189903020858765},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5494363903999329},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5203666090965271},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.48798197507858276},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41101783514022827},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37760499119758606},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.20480158925056458}],"concepts":[{"id":"https://openalex.org/C134342201","wikidata":"https://www.wikidata.org/wiki/Q7246859","display_name":"Probabilistic neural network","level":4,"score":0.8166022896766663},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.7992503643035889},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77403724193573},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6983262300491333},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6784055829048157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.640444815158844},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6189903020858765},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5494363903999329},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5203666090965271},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.48798197507858276},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41101783514022827},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37760499119758606},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.20480158925056458},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2017.8393308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7200000286102295,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1964168965","https://openalex.org/W1975428667","https://openalex.org/W1977019464","https://openalex.org/W1981914622","https://openalex.org/W1987110781","https://openalex.org/W1995937139","https://openalex.org/W2022317397","https://openalex.org/W2062167409","https://openalex.org/W2067903825","https://openalex.org/W2068768759","https://openalex.org/W2089468765","https://openalex.org/W2096347263","https://openalex.org/W2122111042","https://openalex.org/W2130556178","https://openalex.org/W2135346934","https://openalex.org/W2141797740","https://openalex.org/W2148694408","https://openalex.org/W2159853825","https://openalex.org/W2167999447","https://openalex.org/W2168804586","https://openalex.org/W2285812438","https://openalex.org/W2286515324","https://openalex.org/W2380414328","https://openalex.org/W2427656690","https://openalex.org/W2437148923","https://openalex.org/W2442309921","https://openalex.org/W2474319957","https://openalex.org/W2523064693","https://openalex.org/W2528780424","https://openalex.org/W2574401276","https://openalex.org/W2608190038","https://openalex.org/W6675751002","https://openalex.org/W6728424982","https://openalex.org/W6776535907"],"related_works":["https://openalex.org/W1995039490","https://openalex.org/W2182646186","https://openalex.org/W2003054897","https://openalex.org/W2116423617","https://openalex.org/W2077878713","https://openalex.org/W2370292837","https://openalex.org/W4210360969","https://openalex.org/W2386644757","https://openalex.org/W2009284386","https://openalex.org/W1991381172"],"abstract_inverted_index":{"A":[0],"hybrid":[1],"method":[2,28,42,54,82],"by":[3],"combining":[4],"probabilistic":[5],"neural":[6],"network":[7],"(PNN)":[8],"with":[9],"linear":[10],"discriminant":[11],"analysis":[12],"(LDA)":[13],"for":[14,45],"face":[15,50],"recognition":[16],"is":[17,29,43],"proposed":[18,53],"in":[19,87,89],"this":[20],"paper.":[21],"At":[22],"the":[23,26,33,47,61,72,80,91],"first":[24],"place,":[25],"LDA":[27],"employed":[30],"to":[31],"reduce":[32],"dimensions":[34],"of":[35,49,60,71],"sample":[36],"feature,":[37],"and":[38,69],"then":[39],"a":[40,84],"PNN":[41],"adopted":[44],"solving":[46],"problems":[48],"recognition.":[51],"The":[52],"not":[55],"only":[56],"saves":[57],"computing":[58,67],"time":[59],"whole":[62],"implementation,":[63],"but":[64],"also":[65],"improves":[66],"efficiency":[68],"precision":[70],"hybird":[73],"algorithm.":[74],"Experimental":[75],"simulation":[76],"results":[77],"indicate":[78],"that":[79],"LDA-PNN":[81],"gets":[83],"good":[85],"performance":[86],"classification":[88],"handling":[90],"standard":[92],"databases.":[93]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
