{"id":"https://openalex.org/W4388758127","doi":"https://doi.org/10.1109/uemcon59035.2023.10315976","title":"Identification with CNNs by Fusing Face, Fingerprint, and Voice Recognition","display_name":"Identification with CNNs by Fusing Face, Fingerprint, and Voice Recognition","publication_year":2023,"publication_date":"2023-10-12","ids":{"openalex":"https://openalex.org/W4388758127","doi":"https://doi.org/10.1109/uemcon59035.2023.10315976"},"language":"en","primary_location":{"id":"doi:10.1109/uemcon59035.2023.10315976","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/uemcon59035.2023.10315976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","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/A5093279989","display_name":"Samuel B. Ehgartner","orcid":null},"institutions":[{"id":"https://openalex.org/I184759092","display_name":"Lafayette College","ror":"https://ror.org/036n0x007","country_code":"US","type":"education","lineage":["https://openalex.org/I184759092"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel B. Ehgartner","raw_affiliation_strings":["Lafayette College,Department of Electrical and Computer Engineering,Easton,Pennsylvania","Department of Electrical and Computer Engineering, Lafayette College, Easton, Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lafayette College,Department of Electrical and Computer Engineering,Easton,Pennsylvania","institution_ids":["https://openalex.org/I184759092"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Lafayette College, Easton, Pennsylvania","institution_ids":["https://openalex.org/I184759092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066765476","display_name":"Ismail Jouny","orcid":null},"institutions":[{"id":"https://openalex.org/I184759092","display_name":"Lafayette College","ror":"https://ror.org/036n0x007","country_code":"US","type":"education","lineage":["https://openalex.org/I184759092"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ismail Jouny","raw_affiliation_strings":["Lafayette College,Department of Electrical and Computer Engineering,Easton,Pennsylvania","Department of Electrical and Computer Engineering, Lafayette College, Easton, Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lafayette College,Department of Electrical and Computer Engineering,Easton,Pennsylvania","institution_ids":["https://openalex.org/I184759092"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Lafayette College, Easton, Pennsylvania","institution_ids":["https://openalex.org/I184759092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I184759092"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15330816,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"0710","last_page":"0713"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.994700014591217,"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"}},"topics":[{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.994700014591217,"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/T10057","display_name":"Face and Expression Recognition","score":0.9940000176429749,"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/T11448","display_name":"Face recognition and analysis","score":0.9801999926567078,"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":0.7849787473678589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7440797686576843},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7278915643692017},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6443096399307251},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5750784277915955},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5322973728179932},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.5223904252052307},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4972837269306183},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4830813705921173},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.4512580335140228},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44233137369155884},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.43746042251586914},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.435478538274765},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.41684624552726746},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41629090905189514},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3541055917739868},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2395549714565277}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7849787473678589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7440797686576843},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7278915643692017},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6443096399307251},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5750784277915955},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5322973728179932},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.5223904252052307},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4972837269306183},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4830813705921173},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.4512580335140228},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44233137369155884},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.43746042251586914},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.435478538274765},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.41684624552726746},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41629090905189514},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3541055917739868},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2395549714565277},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uemcon59035.2023.10315976","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/uemcon59035.2023.10315976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1010250888","https://openalex.org/W2788909776","https://openalex.org/W4242175757","https://openalex.org/W4387656276"],"related_works":["https://openalex.org/W4233349824","https://openalex.org/W3014822659","https://openalex.org/W4362496757","https://openalex.org/W2566091814","https://openalex.org/W4389371618","https://openalex.org/W2051501574","https://openalex.org/W2117826006","https://openalex.org/W2114937328","https://openalex.org/W2148654711","https://openalex.org/W4200422973"],"abstract_inverted_index":{"In":[0,21,84],"this":[1,22],"paper,":[2],"classifications":[3],"using":[4,148],"three":[5,35],"convolutional":[6,52],"neural":[7,53],"networks":[8],"(CNN)":[9],"are":[10,29,104],"fused":[11],"together":[12],"to":[13,31,62,74,86,97,106,112,142],"explore":[14],"the":[15,69,77,108,116,149],"performance":[16,114],"of":[17,37,46,102,115],"an":[18,143],"identification":[19],"system.":[20],"system":[23,94],"facial,":[24],"voice,":[25],"and":[26,42,49,131,146],"fingerprint":[27,130],"recognition":[28],"used":[30],"demonstrate":[32,87],"fusion.":[33],"These":[34],"sets":[36],"data":[38,73],"vary":[39],"in":[40,76],"complexity":[41],"represent":[43],"a":[44,91],"range":[45],"image":[47],"quality":[48],"perspectives.":[50],"A":[51],"network\u2019s":[54],"success":[55],"is":[56,95,122],"entirely":[57],"dependent":[58],"upon":[59],"its":[60],"ability":[61],"accurately":[63],"classify":[64],"images.":[65],"By":[66],"fusing":[67],"CNNs,":[68],"algorithm":[70],"has":[71],"more":[72],"add":[75],"decision-making":[78],"process,":[79],"thereby":[80],"increasing":[81],"classification":[82],"accuracy.":[83],"order":[85],"fusion\u2019s":[88,137],"potential":[89],"advantages,":[90],"mock":[92],"security":[93],"designed":[96,117],"evaluate":[98],"reliability.":[99],"Three":[100],"methods":[101],"fusion":[103,118],"compared":[105],"determine":[107,136],"most":[109],"effective":[110],"way":[111],"boost":[113],"architecture.":[119],"Each":[120],"method":[121],"evaluated":[123,147],"on":[124],"50":[125],"unique":[126],"profiles":[127],"containing":[128],"face,":[129],"voice":[132],"data.":[133],"To":[134],"further":[135],"effectiveness,":[138],"noise":[139],"was":[140],"added":[141],"identical":[144],"dataset":[145],"same":[150],"methods.":[151]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}