{"id":"https://openalex.org/W4385350508","doi":"https://doi.org/10.3233/jifs-233394","title":"Data augmentation based face anti-spoofing (FAS) scheme using deep learning techniques","display_name":"Data augmentation based face anti-spoofing (FAS) scheme using deep learning techniques","publication_year":2023,"publication_date":"2023-07-28","ids":{"openalex":"https://openalex.org/W4385350508","doi":"https://doi.org/10.3233/jifs-233394"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-233394","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-233394","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-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/A5043624387","display_name":"Kasetty Lakshminarasimha","orcid":"https://orcid.org/0000-0002-5855-0609"},"institutions":[{"id":"https://openalex.org/I33585257","display_name":"Anna University, Chennai","ror":"https://ror.org/01qhf1r47","country_code":"IN","type":"education","lineage":["https://openalex.org/I33585257"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Kasetty Lakshminarasimha","raw_affiliation_strings":["Information and Communication Engineering Department, Anna University, Chennai, Tamilnadu"],"affiliations":[{"raw_affiliation_string":"Information and Communication Engineering Department, Anna University, Chennai, Tamilnadu","institution_ids":["https://openalex.org/I33585257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044012453","display_name":"V. Ponniyin Selvan","orcid":null},"institutions":[{"id":"https://openalex.org/I33585257","display_name":"Anna University, Chennai","ror":"https://ror.org/01qhf1r47","country_code":"IN","type":"education","lineage":["https://openalex.org/I33585257"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V. Ponniyin Selvan","raw_affiliation_strings":["Information and Communication Engineering Department, Anna University, Chennai, Tamilnadu"],"affiliations":[{"raw_affiliation_string":"Information and Communication Engineering Department, Anna University, Chennai, Tamilnadu","institution_ids":["https://openalex.org/I33585257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043624387"],"corresponding_institution_ids":["https://openalex.org/I33585257"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08269171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":"5","first_page":"7389","last_page":"7405"},"is_retracted":true,"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":0.9961000084877014,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9728999733924866,"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":0.849226713180542},{"id":"https://openalex.org/keywords/liveness","display_name":"Liveness","score":0.6460391879081726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.642716109752655},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6124692559242249},{"id":"https://openalex.org/keywords/spoofing-attack","display_name":"Spoofing attack","score":0.6120592355728149},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6091609001159668},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6026139259338379},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5114027857780457},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.4864759147167206},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.41277700662612915},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3628953695297241},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.14157983660697937}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.849226713180542},{"id":"https://openalex.org/C15569618","wikidata":"https://www.wikidata.org/wiki/Q3561421","display_name":"Liveness","level":2,"score":0.6460391879081726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.642716109752655},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6124692559242249},{"id":"https://openalex.org/C167900197","wikidata":"https://www.wikidata.org/wiki/Q11081100","display_name":"Spoofing attack","level":2,"score":0.6120592355728149},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6091609001159668},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6026139259338379},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5114027857780457},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.4864759147167206},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.41277700662612915},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3628953695297241},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.14157983660697937},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-233394","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-233394","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W2979332484","https://openalex.org/W2992698063","https://openalex.org/W3022033573","https://openalex.org/W3094977356","https://openalex.org/W3095585295","https://openalex.org/W3130039244","https://openalex.org/W3158013115","https://openalex.org/W3163093599","https://openalex.org/W3182931234","https://openalex.org/W3202193522","https://openalex.org/W4200141118","https://openalex.org/W4205439218","https://openalex.org/W4205944484","https://openalex.org/W4206552966","https://openalex.org/W4206824996","https://openalex.org/W4214813523","https://openalex.org/W4220799659","https://openalex.org/W4290043195","https://openalex.org/W4290044407","https://openalex.org/W4295873141","https://openalex.org/W4297193043","https://openalex.org/W4297193050","https://openalex.org/W4309459733","https://openalex.org/W4313260190","https://openalex.org/W4313476240","https://openalex.org/W4317393243","https://openalex.org/W4319303192","https://openalex.org/W4361222091","https://openalex.org/W4362701459","https://openalex.org/W4365504037","https://openalex.org/W4376616535","https://openalex.org/W4381468436","https://openalex.org/W6805718708","https://openalex.org/W6805879693","https://openalex.org/W6806333633","https://openalex.org/W6841408229","https://openalex.org/W6851589894","https://openalex.org/W6851809145"],"related_works":["https://openalex.org/W2533239677","https://openalex.org/W2140593870","https://openalex.org/W4389545061","https://openalex.org/W2903861076","https://openalex.org/W3126377002","https://openalex.org/W2604576816","https://openalex.org/W4319078075","https://openalex.org/W2729608596","https://openalex.org/W2913345013","https://openalex.org/W2900020547"],"abstract_inverted_index":{"Recent":[0],"years":[1],"have":[2],"seen":[3],"a":[4,103,157],"rise":[5],"in":[6,8,19,53,67],"interest":[7],"face":[9,21,46,159,177],"anti-spoofing":[10,47,129],"(FAS)":[11],"owing":[12],"to":[13,82,138,155,216],"the":[14,91,98,110,121,128,152,165,169,186,195],"critical":[15],"function":[16],"it":[17],"plays":[18],"protecting":[20],"recognition":[22,160],"systems":[23],"against":[24],"presentation":[25],"assaults":[26],"(PAs).":[27],"Early-stage":[28],"FAS":[29],"approaches":[30],"relying":[31],"on":[32,219],"handmade":[33],"characteristics":[34,84],"become":[35],"inaccurate":[36],"when":[37],"steadily":[38],"realistic":[39],"PAs":[40],"of":[41,80,93,164,176,188],"unique":[42],"sorts":[43],"emerge.":[44],"Thus,":[45],"algorithms":[48],"are":[49],"gaining":[50],"increasing":[51],"relevance":[52],"such":[54,180],"setups.":[55],"A":[56],"very":[57],"innovative":[58],"method":[59,74],"called":[60],"deep":[61,76],"learning":[62,81],"has":[63],"shown":[64],"remarkable":[65],"success":[66],"difficult":[68],"computer":[69],"vision":[70],"problems.":[71],"The":[72,162],"proposed":[73,196],"uses":[75],"acquisition":[77],"and":[78,150,200],"transfer":[79],"extract":[83],"from":[85],"people\u2019s":[86],"faces.":[87],"This":[88],"is":[89],"why":[90],"authors":[92],"this":[94],"study":[95],"recommend":[96],"using":[97,203],"Faster":[99],"RCNN":[100,123,142],"classifier":[101,124],"with":[102,185,221],"face-liveness":[104],"detection":[105],"approach.":[106,130],"Two":[107],"distinct":[108],"components\u2014":[109],"data":[111],"augmentation":[112],"module":[113,171],"for":[114],"assessing":[115],"sparse":[116],"information":[117],"as":[118,120,181],"well":[119],"faster":[122],"module\u2014":[125],"make":[126],"up":[127],"We":[131,144],"may":[132],"use":[133,187],"any":[134],"publicly":[135],"accessible":[136],"dataset":[137],"train":[139],"our":[140],"quicker":[141],"classifier.":[143],"successively":[145],"fused":[146],"these":[147],"two":[148],"components":[149],"used":[151],"Android":[153],"platform":[154],"create":[156],"basic":[158],"app.":[161],"results":[163],"tests":[166],"demonstrate":[167,213],"that":[168],"developed":[170],"can":[172],"identify":[173],"several":[174],"types":[175],"spoof":[178],"assaults,":[179],"those":[182],"carried":[183],"out":[184],"posters,":[189],"masks,":[190],"or":[191],"cell":[192],"phones.":[193],"Testing":[194],"architecture":[197],"both":[198],"across":[199],"inside":[201],"databases":[202],"three":[204],"benchmarking":[205],"(Idiap":[206],"Replay":[207],"Attack,":[208],"CASIA-":[209],"FASD,":[210],"&":[211],"3DMAD)":[212],"its":[214],"ability":[215],"deliver":[217],"outcomes":[218],"par":[220],"cutting-edge":[222],"techniques.":[223]},"counts_by_year":[],"updated_date":"2026-01-30T23:17:42.513302","created_date":"2025-10-10T00:00:00"}