{"id":"https://openalex.org/W1501165582","doi":"https://doi.org/10.1109/icb.2015.7139082","title":"Live face video vs. spoof face video: Use of moir\u00e9 patterns to detect replay video attacks","display_name":"Live face video vs. spoof face video: Use of moir\u00e9 patterns to detect replay video attacks","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1501165582","doi":"https://doi.org/10.1109/icb.2015.7139082","mag":"1501165582"},"language":"en","primary_location":{"id":"doi:10.1109/icb.2015.7139082","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb.2015.7139082","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Biometrics (ICB)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5023574070","display_name":"Keyurkumar J. Patel","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keyurkumar Patel","raw_affiliation_strings":["Michigan State University","Michigan State University, , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Michigan State University, , USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091049278","display_name":"Hu Han","orcid":"https://orcid.org/0000-0001-6010-1792"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hu Han","raw_affiliation_strings":["Michigan State University","Michigan State University, , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Michigan State University, , USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100613677","display_name":"Anil K. Jain","orcid":"https://orcid.org/0000-0002-6369-6995"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anil. K. Jain","raw_affiliation_strings":["Michigan State University","Michigan State University, , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Michigan State University, , USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021066229","display_name":"Greg Ott","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155082","display_name":"KeyW (United States)","ror":"https://ror.org/048maeh80","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155082"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Greg Ott","raw_affiliation_strings":["KEYW Corporation","KEYW Corporation, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KEYW Corporation","institution_ids":["https://openalex.org/I4210155082"]},{"raw_affiliation_string":"KEYW Corporation, USA","institution_ids":["https://openalex.org/I4210155082"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.0444,"has_fulltext":false,"cited_by_count":102,"citation_normalized_percentile":{"value":0.97541415,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"98","last_page":"105"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998000264167786,"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":0.9998000264167786,"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/T11448","display_name":"Face recognition and analysis","score":0.9873999953269958,"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/T11800","display_name":"User Authentication and Security Systems","score":0.9835000038146973,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8746126890182495},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6171440482139587},{"id":"https://openalex.org/keywords/spoofing-attack","display_name":"Spoofing attack","score":0.6143592000007629},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.571967363357544},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5478302836418152},{"id":"https://openalex.org/keywords/replay-attack","display_name":"Replay attack","score":0.5399309396743774},{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.4881208837032318},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.47998592257499695},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.45565178990364075},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.4298156797885895},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4124777019023895},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.2576238811016083},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18332192301750183},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.12402492761611938},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.07664364576339722}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8746126890182495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6171440482139587},{"id":"https://openalex.org/C167900197","wikidata":"https://www.wikidata.org/wiki/Q11081100","display_name":"Spoofing attack","level":2,"score":0.6143592000007629},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.571967363357544},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5478302836418152},{"id":"https://openalex.org/C11560541","wikidata":"https://www.wikidata.org/wiki/Q1756025","display_name":"Replay attack","level":3,"score":0.5399309396743774},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.4881208837032318},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.47998592257499695},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.45565178990364075},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.4298156797885895},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4124777019023895},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2576238811016083},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18332192301750183},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12402492761611938},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.07664364576339722},{"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/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icb.2015.7139082","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb.2015.7139082","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Biometrics (ICB)","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":23,"referenced_works":["https://openalex.org/W1678903980","https://openalex.org/W1982209341","https://openalex.org/W2001770761","https://openalex.org/W2003092530","https://openalex.org/W2004211009","https://openalex.org/W2023157261","https://openalex.org/W2039552902","https://openalex.org/W2042883034","https://openalex.org/W2054831469","https://openalex.org/W2106852298","https://openalex.org/W2106938474","https://openalex.org/W2107227001","https://openalex.org/W2124386111","https://openalex.org/W2136666231","https://openalex.org/W2145131129","https://openalex.org/W2151343288","https://openalex.org/W2163352848","https://openalex.org/W2163487272","https://openalex.org/W2165043427","https://openalex.org/W2260983384","https://openalex.org/W4253795677","https://openalex.org/W6684157366","https://openalex.org/W6684314024"],"related_works":["https://openalex.org/W3007059209","https://openalex.org/W4220832730","https://openalex.org/W1688416049","https://openalex.org/W4312120756","https://openalex.org/W4288120931","https://openalex.org/W4313224733","https://openalex.org/W2972017669","https://openalex.org/W2783658022","https://openalex.org/W2836844603","https://openalex.org/W2585365199"],"abstract_inverted_index":{"With":[0],"the":[1,17,42,53,72,80,109,122,161,166],"wide":[2],"deployment":[3],"of":[4,19,44,55,64,82,124],"face":[5,20,59,132,136,173],"recognition":[6],"systems":[7],"in":[8,57,90,153,172],"applications":[9],"from":[10,133],"border":[11],"control":[12],"to":[13,120],"mobile":[14,67],"device":[15],"unlocking,":[16],"combat":[18],"spoofing":[21,46],"attacks":[22,27,50],"requires":[23],"increased":[24],"attention;":[25],"such":[26],"can":[28],"be":[29],"easily":[30],"launched":[31],"via":[32],"printed":[33],"photos,":[34],"video":[35,83],"replays":[36,86],"and":[37,96,98,105,111,115,144,179],"3D":[38],"masks.":[39],"We":[40,70],"address":[41],"problem":[43],"facial":[45,106],"detection":[47,175],"against":[48],"replay":[49],"based":[51,159],"on":[52,87,141,160],"analysis":[54],"aliasing":[56,75],"spoof":[58,131,174],"videos.":[60],"The":[61],"application":[62],"domain":[63],"interest":[65],"is":[66,158,169],"phone":[68],"unlock.":[69],"analyze":[71],"moir\u00e9":[73,125],"pattern":[74],"that":[76,127,165],"commonly":[77],"appears":[78],"during":[79],"recapture":[81],"or":[84],"photo":[85],"a":[88,129,134,150],"screen":[89],"different":[91],"channels":[92],"(R,":[93],"G,":[94],"B":[95],"grayscale)":[97],"regions":[99],"(the":[100],"whole":[101],"frame,":[102],"detected":[103],"face,":[104],"component":[107],"between":[108],"nose":[110],"chin).":[112],"Multi-scale":[113],"LBP":[114],"DSIFT":[116],"features":[117],"are":[118],"used":[119],"represent":[121],"characteristics":[123],"patterns":[126],"differentiate":[128],"replayed":[130],"live":[135],"(face":[137],"present).":[138],"Experimental":[139],"results":[140],"Idiap":[142],"replay-attack":[143],"CASIA":[145],"databases":[146],"as":[147,149],"well":[148],"database":[151],"collected":[152],"our":[154],"laboratory":[155],"(RAFS),":[156],"which":[157],"MSU-FSD":[162],"database,":[163],"shows":[164],"proposed":[167],"approach":[168],"very":[170],"effective":[171],"for":[176],"both":[177],"cross-database,":[178],"intra-database":[180],"testing":[181],"scenarios.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":12}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
