{"id":"https://openalex.org/W4205548031","doi":"https://doi.org/10.1093/comjnl/bxab212","title":"Aging Facial Recognition for Feature Extraction Using Adaptive Fully Recurrent Deep Neural Learning","display_name":"Aging Facial Recognition for Feature Extraction Using Adaptive Fully Recurrent Deep Neural Learning","publication_year":2021,"publication_date":"2021-12-25","ids":{"openalex":"https://openalex.org/W4205548031","doi":"https://doi.org/10.1093/comjnl/bxab212"},"language":"en","primary_location":{"id":"doi:10.1093/comjnl/bxab212","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxab212","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","raw_type":"journal-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/A5007720619","display_name":"V Shoba","orcid":"https://orcid.org/0000-0002-5513-9929"},"institutions":[{"id":"https://openalex.org/I182997119","display_name":"Manonmaniam Sundaranar University","ror":"https://ror.org/02qgw5c67","country_code":"IN","type":"education","lineage":["https://openalex.org/I182997119"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Betcy Thanga Shoba","raw_affiliation_strings":["Department of PG Computer Science , Nesamony Memorial Christian College, Marthandam affiliated to Manonmaniam Sundaranar University, Tirunelveli, India"],"raw_orcid":"https://orcid.org/0000-0002-5513-9929","affiliations":[{"raw_affiliation_string":"Department of PG Computer Science , Nesamony Memorial Christian College, Marthandam affiliated to Manonmaniam Sundaranar University, Tirunelveli, India","institution_ids":["https://openalex.org/I182997119"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030614439","display_name":"I. Shatheesh Sam","orcid":null},"institutions":[{"id":"https://openalex.org/I182997119","display_name":"Manonmaniam Sundaranar University","ror":"https://ror.org/02qgw5c67","country_code":"IN","type":"education","lineage":["https://openalex.org/I182997119"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"I Shatheesh Sam","raw_affiliation_strings":["Department of PG Computer Science , Nesamony Memorial Christian College, Marthandam affiliated to Manonmaniam Sundaranar University, Tirunelveli, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of PG Computer Science , Nesamony Memorial Christian College, Marthandam affiliated to Manonmaniam Sundaranar University, Tirunelveli, India","institution_ids":["https://openalex.org/I182997119"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5007720619"],"corresponding_institution_ids":["https://openalex.org/I182997119"],"apc_list":{"value":2635,"currency":"GBP","value_usd":3232},"apc_paid":null,"fwci":0.5653,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.68921948,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"65","issue":"7","first_page":"1923","last_page":"1936"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9918000102043152,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.916700005531311,"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":0.7906392812728882},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7728762030601501},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7140556573867798},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5770557522773743},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5288770198822021},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4980745315551758},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48240745067596436},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4812581241130829},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.46584877371788025},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.45049160718917847},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42515021562576294},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13658058643341064}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7906392812728882},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7728762030601501},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7140556573867798},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5770557522773743},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5288770198822021},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4980745315551758},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48240745067596436},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4812581241130829},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.46584877371788025},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.45049160718917847},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42515021562576294},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13658058643341064},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/comjnl/bxab212","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxab212","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W572785986","https://openalex.org/W610429473","https://openalex.org/W1977614468","https://openalex.org/W2032884192","https://openalex.org/W2046305109","https://openalex.org/W2057755039","https://openalex.org/W2166472366","https://openalex.org/W2186500555","https://openalex.org/W2255794050","https://openalex.org/W2292056273","https://openalex.org/W2344121590","https://openalex.org/W2344661575","https://openalex.org/W2536692889","https://openalex.org/W2543686674","https://openalex.org/W2750665538","https://openalex.org/W2761359332","https://openalex.org/W2765635051","https://openalex.org/W2767072221","https://openalex.org/W2790512117","https://openalex.org/W2801811365","https://openalex.org/W2905185688","https://openalex.org/W2931920616","https://openalex.org/W2941422046","https://openalex.org/W2959634215","https://openalex.org/W2988590303","https://openalex.org/W3026016908","https://openalex.org/W3091918399","https://openalex.org/W3131772491","https://openalex.org/W6770193734","https://openalex.org/W6779819231","https://openalex.org/W6783633120","https://openalex.org/W6790465696"],"related_works":["https://openalex.org/W2134472250","https://openalex.org/W2144059113","https://openalex.org/W2486556835","https://openalex.org/W2347601237","https://openalex.org/W1771356744","https://openalex.org/W3171199097","https://openalex.org/W2156017660","https://openalex.org/W2897995864","https://openalex.org/W2546942002","https://openalex.org/W1775397219"],"abstract_inverted_index":{"Abstract":[0],"The":[1,18,70,173],"face":[2,82],"recognition":[3],"(FR)":[4],"process":[5,121],"identifies":[6],"or":[7],"confirms":[8],"a":[9,28,125,130],"person":[10],"with":[11,53,84,115,129,140],"the":[12,67,77,81,89,98,102,106,157,178,183,189,196],"help":[13],"of":[14,30],"images":[15,75,83],"and":[16,60,79,146,152,171,185,187,191],"videos.":[17],"traditional":[19],"aging":[20],"FR":[21,50],"(AFR)":[22],"method":[23],"encounters":[24],"numerous":[25],"issues":[26],"as":[27,165],"result":[29],"age-related":[31],"biological":[32],"transformation.":[33],"An":[34],"adaptive":[35],"fully":[36],"recurrent":[37],"deep":[38],"neural":[39],"learning":[40],"(AFRDNL)":[41],"technique":[42,72,104,180],"is":[43,122,133,137],"presented":[44],"in":[45,66,97,156],"this":[46],"research":[47],"to":[48],"improve":[49],"accuracy":[51],"(FRA)":[52],"minimal":[54,126],"time":[55],"complexity":[56],"(TC).":[57],"Feature":[58],"extraction":[59],"classification":[61],"are":[62,95],"two":[63],"processes":[64],"included":[65],"proposed":[68],"technique.":[69,100],"AFRDNL":[71,99,103,179],"gathers":[73],"facial":[74,90],"from":[76],"database":[78],"trains":[80],"three":[85,92,141],"layers.":[86],"To":[87],"learn":[88],"features,":[91],"hidden":[93],"layers":[94],"employed":[96],"Finally,":[101],"utilizes":[105],"Gaussian":[107],"activation":[108],"function":[109],"for":[110],"matching":[111],"extracted":[112],"testing":[113],"features":[114],"earlier":[116],"saved":[117],"training":[118,127],"features.":[119],"This":[120],"repeated":[123],"until":[124],"error":[128],"higher":[131],"FRA":[132,184],"achieved.":[134],"Experimental":[135],"evaluation":[136],"carried":[138],"out":[139],"image":[142],"datasets":[143,160],"like":[144],"Face":[145],"Gesture":[147],"Recognition":[148],"Research":[149],"Network,":[150],"MORPH":[151],"Cross-Age":[153],"Labeled":[154],"faces":[155],"Wild":[158],"(CALFW)":[159],"using":[161],"different":[162],"metrics,":[163],"such":[164],"FRA,":[166],"false-positive":[167],"rate":[168],"(FPR),":[169],"TC":[170,192],"F1score.":[172],"experimental":[174],"results":[175],"confirm":[176],"that":[177],"effectively":[181,194],"increases":[182],"F1score":[186],"minimizes":[188],"FPR":[190],"more":[193],"than":[195],"state-of-the-art":[197],"methods.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
