{"id":"https://openalex.org/W2931742161","doi":"https://doi.org/10.1109/ceec.2018.8674192","title":"Short-Term User Authentication Using Eyebrows Biometric For Smartphone Devices","display_name":"Short-Term User Authentication Using Eyebrows Biometric For Smartphone Devices","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2931742161","doi":"https://doi.org/10.1109/ceec.2018.8674192","mag":"2931742161"},"language":"en","primary_location":{"id":"doi:10.1109/ceec.2018.8674192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ceec.2018.8674192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 10th Computer Science and Electronic Engineering (CEEC)","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/A5072058317","display_name":"Ahmad Saeed Mohammad","orcid":"https://orcid.org/0000-0001-6141-2605"},"institutions":[{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ahmad Saeed Mohammad","raw_affiliation_strings":["School of Computing and Engineering, University of Missouri-Kansas City Kansas City, Missouri, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing and Engineering, University of Missouri-Kansas City Kansas City, Missouri, USA","institution_ids":["https://openalex.org/I75421653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081904333","display_name":"Ajita Rattani","orcid":"https://orcid.org/0000-0002-1541-8202"},"institutions":[{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ajita Rattani","raw_affiliation_strings":["School of Computing and Engineering, University of Missouri-Kansas City Kansas City, Missouri, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing and Engineering, University of Missouri-Kansas City Kansas City, Missouri, USA","institution_ids":["https://openalex.org/I75421653"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103133910","display_name":"Reza Derakhshani","orcid":"https://orcid.org/0000-0002-2351-1730"},"institutions":[{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Reza Derakhshani","raw_affiliation_strings":["School of Computing and Engineering, University of Missouri-Kansas City Kansas City, Missouri, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing and Engineering, University of Missouri-Kansas City Kansas City, Missouri, USA","institution_ids":["https://openalex.org/I75421653"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072058317"],"corresponding_institution_ids":["https://openalex.org/I75421653"],"apc_list":null,"apc_paid":null,"fwci":0.5223,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72425759,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"287","last_page":"292"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9983000159263611,"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":0.9926000237464905,"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/biometrics","display_name":"Biometrics","score":0.8025320768356323},{"id":"https://openalex.org/keywords/eyebrow","display_name":"Eyebrow","score":0.7560276985168457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7429655194282532},{"id":"https://openalex.org/keywords/password","display_name":"Password","score":0.6477646827697754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5862522125244141},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5738810896873474},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.5716524124145508},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5629845261573792},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5410228371620178},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.46017327904701233},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.44122999906539917},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1487739086151123},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11401382088661194}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8025320768356323},{"id":"https://openalex.org/C2779022956","wikidata":"https://www.wikidata.org/wiki/Q43748","display_name":"Eyebrow","level":2,"score":0.7560276985168457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7429655194282532},{"id":"https://openalex.org/C109297577","wikidata":"https://www.wikidata.org/wiki/Q161157","display_name":"Password","level":2,"score":0.6477646827697754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5862522125244141},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5738810896873474},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.5716524124145508},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5629845261573792},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5410228371620178},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.46017327904701233},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.44122999906539917},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1487739086151123},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11401382088661194},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ceec.2018.8674192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ceec.2018.8674192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 10th Computer Science and Electronic Engineering (CEEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1499880103","https://openalex.org/W1996988699","https://openalex.org/W2020308406","https://openalex.org/W2043677941","https://openalex.org/W2047910747","https://openalex.org/W2049313567","https://openalex.org/W2073484743","https://openalex.org/W2085388325","https://openalex.org/W2115252128","https://openalex.org/W2147141800","https://openalex.org/W2161969291","https://openalex.org/W2342084405","https://openalex.org/W2471556897","https://openalex.org/W2510901370","https://openalex.org/W2536391335","https://openalex.org/W2559991176","https://openalex.org/W6677618333","https://openalex.org/W6728680312"],"related_works":["https://openalex.org/W2350427814","https://openalex.org/W2383448370","https://openalex.org/W4283767201","https://openalex.org/W2355434255","https://openalex.org/W2369669689","https://openalex.org/W4382814736","https://openalex.org/W2149685434","https://openalex.org/W1995418324","https://openalex.org/W2211301776","https://openalex.org/W2060905804"],"abstract_inverted_index":{"With":[0],"the":[1,26,39,45,74,164],"unprecedented":[2],"mobile":[3,18,68,121],"technology":[4],"revolution,":[5],"biometrics":[6],"have":[7],"become":[8],"a":[9,93,98,114,124],"viable":[10],"alternative":[11],"to":[12,63,72],"PINs":[13],"and":[14,20,48,53,71,96,104,132,144,179,190],"passwords":[15],"for":[16,35,67],"secured":[17],"access":[19],"transactions.":[21],"Recent":[22],"research":[23],"has":[24],"shown":[25],"potential":[27],"of":[28,41,44,59,89,130,137,142,177,184,188],"eyebrows":[29],"as":[30,78],"an":[31],"independent":[32],"biometric":[33],"modality":[34],"recognition.":[36],"Eyebrows":[37],"leverage":[38],"benefit":[40],"being":[42],"one-sixth":[43],"facial":[46],"region,":[47],"is":[49,62,160],"therefore":[50],"computationally":[51],"efficient":[52],"offer":[54],"fast":[55],"throughput.":[56],"The":[57,110],"aim":[58],"this":[60,86],"paper":[61],"exploit":[64],"eyebrow":[65,106,146,192],"region":[66],"user":[69,83],"authentication,":[70],"show":[73,123],"impact":[75],"factor":[76],"such":[77],"eyeglasses":[79,198],"existence":[80],"on":[81,113,167,186],"eyebrow-based":[82],"authentication.":[84],"To":[85],"aim,":[87],"Histogram":[88],"Oriented":[90],"Gradients":[91],"(HOG),":[92],"local":[94],"descriptor,":[95,100],"GIST,":[97],"global":[99],"extracted":[101],"from":[102,140],"left":[103,143,189],"right":[105,145,191],"regions":[107,147,193],"are":[108],"evaluated.":[109],"reported":[111],"results":[112],"publicly":[115],"available":[116],"VISOB":[117],"dataset":[118,170],"collected":[119],"through":[120],"devices.":[122],"minimum":[125,172],"Equal":[126,173],"Error":[127,174],"Rate":[128,175],"(EER)":[129,176],"3.23%":[131],"Area":[133,180],"under":[134,181],"curve":[135,182],"(AUC)":[136,183],"0.9916":[138],"obtained":[139],"fusion":[141,187],"at":[148,194],"score":[149,195],"level":[150,196],"using":[151,199],"GIST":[152],"descriptor.":[153,201],"Further,":[154],"comparative":[155],"evaluation":[156],"with":[157],"existing":[158],"methods":[159],"performed":[161],"by":[162],"evaluating":[163],"proposed":[165],"method":[166],"FERET":[168],"face":[169],"obtaining":[171],"1.08%":[178],"0.9990":[185],"without":[197],"HOG":[200]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}