{"id":"https://openalex.org/W3033635393","doi":"https://doi.org/10.1109/access.2020.2999030","title":"A Novel Neural Network Method for Face Recognition With a Single Sample Per Person","display_name":"A Novel Neural Network Method for Face Recognition With a Single Sample Per Person","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3033635393","doi":"https://doi.org/10.1109/access.2020.2999030","mag":"3033635393"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2999030","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2999030","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09105006.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09105006.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028733642","display_name":"Mohamed Abdelmaksoud","orcid":null},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed Abdelmaksoud","raw_affiliation_strings":["Computer Science Department, Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102870307","display_name":"Emad Nabil","orcid":"https://orcid.org/0000-0003-3729-5079"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]},{"id":"https://openalex.org/I4210151290","display_name":"Islamic University of Madinah","ror":"https://ror.org/03rcp1y74","country_code":"SA","type":"education","lineage":["https://openalex.org/I4210151290"]}],"countries":["EG","SA"],"is_corresponding":false,"raw_author_name":"Emad Nabil","raw_affiliation_strings":["Computer Science Department, Faculty of Computer and Information Systems, Islamic University of Madinah, Madinah, Saudi Arabia","Computer Science Department, Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt"],"raw_orcid":"https://orcid.org/0000-0003-3729-5079","affiliations":[{"raw_affiliation_string":"Computer Science Department, Faculty of Computer and Information Systems, Islamic University of Madinah, Madinah, Saudi Arabia","institution_ids":["https://openalex.org/I4210151290"]},{"raw_affiliation_string":"Computer Science Department, Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024330030","display_name":"Ibrahim Farag","orcid":"https://orcid.org/0000-0002-5732-4108"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ibrahim Farag","raw_affiliation_strings":["Computer Science Department, Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052471999","display_name":"Hala Abdel Hameed","orcid":"https://orcid.org/0000-0001-8158-1932"},"institutions":[{"id":"https://openalex.org/I23075662","display_name":"Taibah University","ror":"https://ror.org/01xv1nn60","country_code":"SA","type":"education","lineage":["https://openalex.org/I23075662"]},{"id":"https://openalex.org/I66513531","display_name":"Fayoum University","ror":"https://ror.org/023gzwx10","country_code":"EG","type":"education","lineage":["https://openalex.org/I66513531"]}],"countries":["EG","SA"],"is_corresponding":false,"raw_author_name":"Hala Abdel Hameed","raw_affiliation_strings":["Information Systems Department, Faculty of Computers and Information, Fayoum University, Faiyum, Egypt","Khaybar Community College, Taibah University, Medina, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Systems Department, Faculty of Computers and Information, Fayoum University, Faiyum, Egypt","institution_ids":["https://openalex.org/I66513531"]},{"raw_affiliation_string":"Khaybar Community College, Taibah University, Medina, Saudi Arabia","institution_ids":["https://openalex.org/I23075662"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3705,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.83529704,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"102212","last_page":"102221"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"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/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9973000288009644,"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/T10057","display_name":"Face and Expression Recognition","score":0.9930999875068665,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7935845851898193},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7903356552124023},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.7648584842681885},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.7247722744941711},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6478010416030884},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5332975387573242},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5286954641342163},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5271750688552856},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45447760820388794},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4421159029006958},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4383009970188141},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4275176227092743},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42280763387680054},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4227299094200134},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4181399345397949},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15461865067481995}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7935845851898193},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7903356552124023},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7648584842681885},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.7247722744941711},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6478010416030884},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5332975387573242},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5286954641342163},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5271750688552856},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45447760820388794},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4421159029006958},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4383009970188141},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4275176227092743},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42280763387680054},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4227299094200134},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4181399345397949},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15461865067481995},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2999030","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2999030","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09105006.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:718a4f67a7b24273ba27921c8b2b5726","is_oa":true,"landing_page_url":"https://doaj.org/article/718a4f67a7b24273ba27921c8b2b5726","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 102212-102221 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2999030","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2999030","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09105006.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1145659577","https://openalex.org/W1461711402","https://openalex.org/W1554705885","https://openalex.org/W1761337995","https://openalex.org/W1903029394","https://openalex.org/W1906634369","https://openalex.org/W1943373613","https://openalex.org/W1982696459","https://openalex.org/W2008056655","https://openalex.org/W2027610308","https://openalex.org/W2066322905","https://openalex.org/W2086665547","https://openalex.org/W2090504921","https://openalex.org/W2090977244","https://openalex.org/W2092131162","https://openalex.org/W2096733369","https://openalex.org/W2097117768","https://openalex.org/W2099355420","https://openalex.org/W2107037917","https://openalex.org/W2108263349","https://openalex.org/W2120100419","https://openalex.org/W2128835939","https://openalex.org/W2132964930","https://openalex.org/W2144172034","https://openalex.org/W2145287260","https://openalex.org/W2157920973","https://openalex.org/W2160126058","https://openalex.org/W2163605009","https://openalex.org/W2295907397","https://openalex.org/W2307523691","https://openalex.org/W2361128240","https://openalex.org/W2520742745","https://openalex.org/W2578203758","https://openalex.org/W2586409500","https://openalex.org/W2606680731","https://openalex.org/W2783367051","https://openalex.org/W2888590069","https://openalex.org/W2947267495","https://openalex.org/W2963312584","https://openalex.org/W2963342110","https://openalex.org/W2963470893","https://openalex.org/W3099193058","https://openalex.org/W4299518610","https://openalex.org/W6628378110","https://openalex.org/W6674902714","https://openalex.org/W6679791375","https://openalex.org/W6681239517","https://openalex.org/W6682132143","https://openalex.org/W6684191040","https://openalex.org/W6700903540"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W2888032422","https://openalex.org/W3156763702"],"abstract_inverted_index":{"Face":[0,164],"Recognition":[1],"(FR)":[2],"problem":[3,29,147,210],"is":[4,14,41,60,127,156,182,201,216],"one":[5,46],"of":[6,30,63,75,81,148,211,254],"the":[7,18,26,39,61,90,98,131,146,152,172,178,193,204,209,219,250],"significant":[8],"fields":[9],"in":[10,89,97,102,177,232],"computer":[11],"vision.":[12],"FR":[13],"used":[15,128,157,183],"to":[16,119,129,144,158,170,184,191,207,235],"identify":[17],"faces":[19,64,87,96],"that":[20,113,237],"appear":[21],"over":[22,25],"distributed":[23],"cameras":[24],"network.":[27],"The":[28,58,73,213,225],"face":[31,55,76,120,125,241,246,266],"recognition":[32,42,56,62,77,121,242],"can":[33,51],"be":[34,52],"divided":[35],"into":[36],"two":[37],"categories,":[38],"first":[40],"with":[43,115,122,135],"more":[44],"than":[45],"sample":[47],"per":[48],"person,":[49],"which":[50,262],"called":[53],"traditional":[54],"problem.":[57,174,195],"second":[59],"using":[65,218],"only":[66],"a":[67,111,140],"Single":[68],"Sample":[69],"Per":[70],"Person":[71],"(SSPP).":[72],"efficiency":[74],"systems":[78],"decreases":[79],"because":[80],"limited":[82,149],"references":[83],"especially":[84],"(SSPP)":[85],"and":[86,106,138,222,245,256],"taken":[88],"Operational":[91],"Domain":[92,100],"(OD)":[93],"different":[94,136,160],"from":[95],"Enrollment":[99],"(ED)":[101],"illumination,":[103],"pose,":[104],"low-resolution,":[105],"blurriness.":[107,212],"This":[108],"paper":[109],"proposed":[110,214,251],"method":[112,215,252,260],"deals":[114],"all":[116],"problems":[117],"related":[118],"SSPP.":[123],"3D":[124],"reconstruction":[126],"increase":[130],"reference":[132],"gallery":[133],"set":[134],"poses":[137],"generate":[139],"design":[141,153],"domain":[142,154],"dictionary":[143,155],"overcome":[145,171,192,208],"reference.":[150],"Besides,":[151],"feed":[159],"deep":[161],"learning":[162,244],"models.":[163],"illumination":[165,173],"transfer":[166],"techniques":[167,236],"are":[168],"utilized":[169],"Labeled":[175],"Faces":[176],"Wild":[179],"(LFW)":[180],"dataset":[181,206,221],"train":[185],"Super-Resolution":[186],"Generative":[187,197],"Adversarial":[188,198],"Network":[189,199],"(SRGAN)":[190],"low-resolution":[194],"Deblur":[196],"(DeblurGAN)":[200],"trained":[202],"on":[203],"LFW":[205],"evaluated":[217],"Chokepoint":[220],"COX-S2V":[223],"dataset.":[224],"final":[226],"results":[227],"confirm":[228],"an":[229],"overall":[230],"enhancement":[231],"accuracy":[233],"compared":[234],"use":[238],"SSPP":[239,264],"for":[240,265],"(generic":[243],"synthesizing":[247],"approaches).":[248],"Also,":[249],"outperforms":[253],"Traditional":[255],"Deep":[257],"Learning":[258],"(TDL)":[259],"accuracy,":[261],"uses":[263],"recognition.":[267]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
