{"id":"https://openalex.org/W2014859930","doi":"https://doi.org/10.1109/icmlc.2010.5580558","title":"Access control by RFID and face recognition based on neural network","display_name":"Access control by RFID and face recognition based on neural network","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2014859930","doi":"https://doi.org/10.1109/icmlc.2010.5580558","mag":"2014859930"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2010.5580558","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5580558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103231949","display_name":"Dongliang Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong-Liang Wu","raw_affiliation_strings":["Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105759393","display_name":"Wing W. Y. Ng","orcid":"https://orcid.org/0000-0003-0783-3585"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wing W. Y. Ng","raw_affiliation_strings":["Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031854980","display_name":"Patrick P. K. Chan","orcid":"https://orcid.org/0000-0001-7774-580X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Patrick P. K. Chan","raw_affiliation_strings":["Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016750272","display_name":"Hai-Lan Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai-Lan Ding","raw_affiliation_strings":["Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031021374","display_name":"Bingzhong Jing","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing-Zhong Jing","raw_affiliation_strings":["Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006543313","display_name":"Daniel Yeung","orcid":"https://orcid.org/0000-0001-9397-8865"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daniel S. Yeung","raw_affiliation_strings":["Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China, University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":1.6317,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.85356472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"675","last_page":"680"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9980000257492065,"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":0.9980000257492065,"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":0.9930999875068665,"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":0.9749000072479248,"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/computer-science","display_name":"Computer science","score":0.7558197379112244},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.744086503982544},{"id":"https://openalex.org/keywords/access-control","display_name":"Access control","score":0.6813862919807434},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6250001192092896},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5829362869262695},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5163532495498657},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4893302321434021},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4863510727882385},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.4857669174671173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4765235185623169},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4309958815574646},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.418022096157074},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.22584852576255798}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7558197379112244},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.744086503982544},{"id":"https://openalex.org/C527821871","wikidata":"https://www.wikidata.org/wiki/Q228502","display_name":"Access control","level":2,"score":0.6813862919807434},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6250001192092896},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5829362869262695},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5163532495498657},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4893302321434021},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4863510727882385},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.4857669174671173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4765235185623169},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4309958815574646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.418022096157074},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.22584852576255798},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2010.5580558","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5580558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6299999952316284,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1971476226","https://openalex.org/W1980564913","https://openalex.org/W1985809919","https://openalex.org/W1994450262","https://openalex.org/W2003519829","https://openalex.org/W2007619679","https://openalex.org/W2015421233","https://openalex.org/W2027440842","https://openalex.org/W2040920656","https://openalex.org/W2073952817","https://openalex.org/W2076090057","https://openalex.org/W2086883264","https://openalex.org/W2088900896","https://openalex.org/W2106834000","https://openalex.org/W2122538199","https://openalex.org/W2135346934","https://openalex.org/W2138451337","https://openalex.org/W2151103935","https://openalex.org/W2159255651","https://openalex.org/W2171277043","https://openalex.org/W2171604354","https://openalex.org/W3016988317"],"related_works":["https://openalex.org/W2052589448","https://openalex.org/W2765337000","https://openalex.org/W3104072235","https://openalex.org/W2391447249","https://openalex.org/W2312955079","https://openalex.org/W2350996391","https://openalex.org/W2066119650","https://openalex.org/W2059615944","https://openalex.org/W4224057882","https://openalex.org/W1995039490"],"abstract_inverted_index":{"Radio":[0],"frequency":[1],"identification":[2],"(RFID)":[3],"technology":[4,38],"has":[5,175],"been":[6],"widely":[7],"adopted":[8,134],"in":[9,48,164],"access":[10,23,33,65,158,186],"control":[11,24,34,159],"system.":[12],"However,":[13],"the":[14,17,22,28,54,57,60,82,90,100,121,172,182],"people":[15],"holding":[16,59],"RFID":[18,37,61,185],"card":[19,62,86,103],"passing":[20],"through":[21],"may":[25],"not":[26,69],"be":[27],"authorized":[29,85],"one.":[30],"Therefore,":[31],"an":[32],"system":[35,52,146,160],"combining":[36],"and":[39,63,88,111,179],"face":[40,55,83,124,144,153],"recognition":[41,145],"based":[42],"on":[43],"neural":[44],"network":[45],"is":[46,133,147,161],"presented":[47],"this":[49],"work.":[50],"The":[51,127,143,156],"recognizes":[53],"of":[56,84,92,102,123,184],"person":[58],"denies":[64],"if":[66],"they":[67],"do":[68],"match.":[70],"We":[71],"adopt":[72],"a":[73,137,165,176],"Radial":[74],"Basis":[75],"Function":[76],"Neural":[77],"Network":[78],"(RBFNN)":[79],"to":[80,119,135],"learn":[81],"holders":[87,104],"save":[89],"parameters":[91],"RBFNN":[93,138],"only.":[94],"This":[95],"could":[96,180],"reduce":[97,120],"storage":[98],"when":[99],"number":[101],"getting":[105],"large.":[106],"Principal":[107],"Component":[108],"Analysis":[109,114],"(PCA)":[110],"Linear":[112],"Discriminant":[113],"(LDA)":[115],"features":[116],"are":[117],"extracted":[118],"dimensions":[122],"image":[125,154],"data.":[126],"Localized":[128],"Generalization":[129],"Error":[130],"Model":[131],"(L-GEM)":[132],"train":[136],"for":[139],"better":[140],"generalization":[141],"capability.":[142],"first":[148],"evaluated":[149],"by":[150],"benchmarking":[151],"ORL":[152],"database.":[155],"whole":[157],"then":[162],"tested":[163],"real":[166],"environment.":[167],"Experimental":[168],"results":[169],"show":[170],"that":[171],"proposed":[173],"method":[174],"good":[177],"performance":[178],"improve":[181],"security":[183],"control.":[187]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
