{"id":"https://openalex.org/W2996383418","doi":"https://doi.org/10.1109/tencon.2019.8929592","title":"Multi-modal authentication system based on audio-visual data","display_name":"Multi-modal authentication system based on audio-visual data","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2996383418","doi":"https://doi.org/10.1109/tencon.2019.8929592","mag":"2996383418"},"language":"en","primary_location":{"id":"doi:10.1109/tencon.2019.8929592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2019.8929592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON)","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/A5084304087","display_name":"Saswati Debnath","orcid":"https://orcid.org/0000-0003-4246-3970"},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Saswati Debnath","raw_affiliation_strings":["Dept. of Computer Science & Engineering, National Institute of technology, Silchar, Silchar, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Engineering, National Institute of technology, Silchar, Silchar, India","institution_ids":["https://openalex.org/I151903974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010493101","display_name":"Pinki Roy","orcid":"https://orcid.org/0000-0003-0896-1757"},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pinki Roy","raw_affiliation_strings":["Dept. of Computer Science & Engineering, National Institute of technology, Silchar, Silchar, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Engineering, National Institute of technology, Silchar, Silchar, India","institution_ids":["https://openalex.org/I151903974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084304087"],"corresponding_institution_ids":["https://openalex.org/I151903974"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.15465816,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"2507","last_page":"2512"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.998199999332428,"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/T10860","display_name":"Speech and Audio Processing","score":0.998199999332428,"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/T11309","display_name":"Music and Audio Processing","score":0.9973000288009644,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9970999956130981,"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":0.8548362255096436},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6409420371055603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.601947546005249},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5928990840911865},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4885009527206421},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4741349220275879},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.46336954832077026},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.45532751083374023},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43462440371513367},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3783976435661316}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8548362255096436},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6409420371055603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.601947546005249},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5928990840911865},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4885009527206421},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4741349220275879},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.46336954832077026},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.45532751083374023},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43462440371513367},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3783976435661316},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon.2019.8929592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2019.8929592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W109538337","https://openalex.org/W1584372158","https://openalex.org/W2087281575","https://openalex.org/W2099445008","https://openalex.org/W2101055643","https://openalex.org/W2107634464","https://openalex.org/W2131871423","https://openalex.org/W2132964930","https://openalex.org/W2148154194","https://openalex.org/W2159549127","https://openalex.org/W2164116646","https://openalex.org/W2479163084","https://openalex.org/W2543087941","https://openalex.org/W2600394412","https://openalex.org/W2785602776","https://openalex.org/W2793128049","https://openalex.org/W3170169511","https://openalex.org/W4301134898","https://openalex.org/W6635122530","https://openalex.org/W6684352810","https://openalex.org/W6735300760","https://openalex.org/W6796237984","https://openalex.org/W7020635705"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W4317383455","https://openalex.org/W2548511587","https://openalex.org/W3104966193","https://openalex.org/W4293232884","https://openalex.org/W2422472940","https://openalex.org/W2019475500","https://openalex.org/W2548162870","https://openalex.org/W2138847091","https://openalex.org/W2985118265"],"abstract_inverted_index":{"Biometrics":[0],"is":[1,34,124,135,155,186,204,218],"an":[2],"emerging":[3],"technology":[4],"in":[5,13,115,220],"this":[6,84,97],"era,":[7],"which":[8],"has":[9,113,246],"been":[10,247],"widely":[11],"used":[12,156,169],"many":[14],"application":[15],"such":[16],"as":[17,131,133,157],"secured":[18],"access":[19],"to":[20,89,206,261],"a":[21,35,40,262],"computer":[22],"and":[23,66,118,141,162,179,215],"any":[24],"other":[25,67],"system,":[26],"criminal":[27],"identification,":[28],"person":[29,41,102],"authentication,":[30],"etc.":[31],"Face":[32],"recognition":[33,55,123],"biometric":[36,86],"method":[37,185],"of":[38,50,56,108,177,192,196,230,252],"identifying":[39],"by":[42,61],"comparing":[43],"the":[44,47,54,70,80,144,158,175,182,232,238],"data":[45,140],"with":[46,126,199],"stored":[48],"information":[49,255],"that":[51,249],"person.":[52],"But":[53],"face":[57,74],"can":[58],"be":[59,77],"affected":[60],"illumination":[62],"variation,":[63],"facial":[64],"expression":[65],"issues.":[68],"Therefore,":[69,120],"authentication":[71,103],"using":[72,224],"only":[73],"image":[75],"might":[76],"difficult":[78],"for":[79,146,170],"system.":[81],"To":[82],"overcome":[83],"challenge,":[85],"authentications":[87],"have":[88],"rely":[90],"on":[91,105,242],"more":[92],"than":[93],"one":[94],"method.":[95],"In":[96],"paper,":[98],"we":[99],"consider":[100],"audio-video":[101],"based":[104,241],"two":[106,221],"sources":[107],"information.":[109],"Single":[110],"modality":[111,145],"evidence":[112],"limitations":[114],"both":[116,143,231,253],"security":[117],"robustness.":[119],"here,":[121],"audio":[122,178],"added":[125],"visual":[127,171,180],"recognition.":[128],"Facial":[129],"features,":[130,181],"well":[132],"speech":[134,159],"extracted":[136],"separately":[137],"from":[138,210],"audio-visual":[139,211,254],"integrate":[142],"secure":[147],"user":[148],"authentication.":[149],"Mel":[150],"Frequency":[151],"Cepstral":[152],"Coefficients":[153],"(MFCC)":[154],"feature.":[160],"Viola-Jones":[161],"Scale-Invariant":[163],"Feature":[164,201],"Transform":[165],"(SIFT)":[166],"algorithm":[167,190],"are":[168,234],"feature":[172,183],"extraction.":[173],"After":[174],"extraction":[176],"selection":[184],"employed.":[187],"The":[188,213,228],"two-phase":[189],"consisting":[191],"statistical":[193],"analysis,":[194],"Analysis":[195],"Variance":[197],"(ANOVA)":[198],"Incremental":[200],"Selection":[202],"(IFS)":[203],"proposed":[205],"select":[207],"significant":[208],"features":[209],"data.":[212],"Audio":[214],"Video":[216],"processing":[217],"done":[219],"separate":[222],"phases":[223],"machine":[225],"learning":[226],"algorithms.":[227],"results":[229,259],"modalities":[233,251],"then":[235],"combined":[236],"at":[237],"decision":[239],"level":[240],"majority":[243],"voting.":[244],"It":[245],"observed":[248],"multiple":[250],"give":[256],"immensely":[257],"good":[258],"compared":[260],"standalone":[263],"single":[264],"modality.":[265]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
