{"id":"https://openalex.org/W2898019018","doi":"https://doi.org/10.1109/bigmm.2018.8499061","title":"Iris Liveness Detection: A Survey","display_name":"Iris Liveness Detection: A Survey","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2898019018","doi":"https://doi.org/10.1109/bigmm.2018.8499061","mag":"2898019018"},"language":"en","primary_location":{"id":"doi:10.1109/bigmm.2018.8499061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigmm.2018.8499061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM)","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/A5048381575","display_name":"Yangyu Chen","orcid":"https://orcid.org/0009-0006-5976-9772"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yangyu Chen","raw_affiliation_strings":["University of Chinese Academy of Science, Beijing"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Science, Beijing","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014774434","display_name":"Weigang Zhang","orcid":"https://orcid.org/0000-0003-0042-7074"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weigang Zhang","raw_affiliation_strings":["Harbin Institute of Technology, Weihai"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Weihai","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048381575"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":1.6514,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.85433932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":1.0,"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":1.0,"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/T11800","display_name":"User Authentication and Security Systems","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.949400007724762,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/liveness","display_name":"Liveness","score":0.9934984445571899},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.789425253868103},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7826893925666809},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7704708576202393},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6275266408920288},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.6131874322891235},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5039889216423035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5017549991607666},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46955162286758423},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43222230672836304},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35917842388153076},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.08641257882118225}],"concepts":[{"id":"https://openalex.org/C15569618","wikidata":"https://www.wikidata.org/wiki/Q3561421","display_name":"Liveness","level":2,"score":0.9934984445571899},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.789425253868103},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7826893925666809},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7704708576202393},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6275266408920288},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.6131874322891235},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5039889216423035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5017549991607666},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46955162286758423},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43222230672836304},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35917842388153076},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.08641257882118225},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigmm.2018.8499061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigmm.2018.8499061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309590","display_name":"Universit\u00e0 degli Studi di Napoli Federico II","ror":"https://ror.org/05290cv24"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1502160187","https://openalex.org/W1535827370","https://openalex.org/W1608431272","https://openalex.org/W1844422699","https://openalex.org/W1907066207","https://openalex.org/W1923137425","https://openalex.org/W1967053725","https://openalex.org/W1972843873","https://openalex.org/W1977767406","https://openalex.org/W2001390602","https://openalex.org/W2004211009","https://openalex.org/W2004935805","https://openalex.org/W2011475289","https://openalex.org/W2014883954","https://openalex.org/W2017891060","https://openalex.org/W2024178148","https://openalex.org/W2032730676","https://openalex.org/W2036706473","https://openalex.org/W2043689880","https://openalex.org/W2053010053","https://openalex.org/W2055683887","https://openalex.org/W2068779413","https://openalex.org/W2073139509","https://openalex.org/W2076415419","https://openalex.org/W2080750694","https://openalex.org/W2083811603","https://openalex.org/W2090163283","https://openalex.org/W2102796633","https://openalex.org/W2103622979","https://openalex.org/W2122759487","https://openalex.org/W2136975665","https://openalex.org/W2137313943","https://openalex.org/W2142256325","https://openalex.org/W2150817856","https://openalex.org/W2151587461","https://openalex.org/W2168567026","https://openalex.org/W2169064741","https://openalex.org/W2186694997","https://openalex.org/W2187810150","https://openalex.org/W2214328505","https://openalex.org/W2260659559","https://openalex.org/W2314735382","https://openalex.org/W3101824741","https://openalex.org/W4239236075","https://openalex.org/W4285719527","https://openalex.org/W6630005630","https://openalex.org/W6636312634","https://openalex.org/W6659672450","https://openalex.org/W6675639558","https://openalex.org/W6680152570","https://openalex.org/W6687199240"],"related_works":["https://openalex.org/W2965549351","https://openalex.org/W2150817856","https://openalex.org/W2162640687","https://openalex.org/W2018223046","https://openalex.org/W2151970936","https://openalex.org/W2759939383","https://openalex.org/W2294693339","https://openalex.org/W2557390811","https://openalex.org/W2355560018","https://openalex.org/W3012266169"],"abstract_inverted_index":{"Iris":[0],"is":[1,8,25,36,127],"an":[2,19],"accurate":[3],"but":[4,125],"vulnerable":[5],"trait":[6],"which":[7,58,71],"widely":[9],"used":[10],"in":[11,42,75,121],"biometric":[12,28,139],"system.":[13,29],"To":[14,109],"protect":[15],"iris":[16,43,51,106,115],"recognition":[17],"module,":[18],"additional":[20],"process":[21],"called":[22],"liveness":[23,44,52,79,107,116],"detection":[24,53,117],"integrated":[26],"into":[27,55],"The":[30],"primary":[31],"objective":[32],"of":[33,66,80,90,114],"this":[34,47,91],"paper":[35],"to":[37,62,77,85,131,135],"review":[38],"the":[39,81,129],"recent":[40],"progress":[41],"detection.":[45,108],"For":[46],"purposes,":[48],"we":[49,93],"categorize":[50],"approaches":[54],"sensor-level":[56],"method,":[57,70],"add":[59],"extra":[60],"hardware":[61],"detect":[63],"vital":[64],"signal":[65],"subjects,":[67],"and":[68,99,103],"feature-level":[69],"use":[72],"algorithm":[73],"implemented":[74],"software":[76],"analysis":[78],"presentation.":[82],"In":[83],"order":[84],"acquire":[86],"a":[87],"better":[88],"understanding":[89],"field,":[92],"describe":[94],"some":[95,101],"presentation":[96],"attack":[97],"methods":[98],"introduce":[100],"competition":[102],"dataset":[104],"for":[105],"sum":[110],"up,":[111],"big":[112],"achievement":[113],"have":[118],"been":[119],"made":[120],"last":[122],"five":[123],"years,":[124],"there":[126],"still":[128],"need":[130],"devote":[132],"further":[133],"efforts":[134],"build":[136],"more":[137],"security":[138],"systems.":[140]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
