{"id":"https://openalex.org/W2563133041","doi":"https://doi.org/10.1109/btas.2016.7791168","title":"Detecting medley of iris spoofing attacks using DESIST","display_name":"Detecting medley of iris spoofing attacks using DESIST","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2563133041","doi":"https://doi.org/10.1109/btas.2016.7791168","mag":"2563133041"},"language":"en","primary_location":{"id":"doi:10.1109/btas.2016.7791168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/btas.2016.7791168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS)","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/A5010461217","display_name":"Naman Kohli","orcid":"https://orcid.org/0000-0002-1896-4348"},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Naman Kohli","raw_affiliation_strings":["West Virginia University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"West Virginia University","institution_ids":["https://openalex.org/I12097938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075687286","display_name":"Daksha Yadav","orcid":null},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daksha Yadav","raw_affiliation_strings":["West Virginia University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"West Virginia University","institution_ids":["https://openalex.org/I12097938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050521702","display_name":"Mayank Vatsa","orcid":"https://orcid.org/0000-0001-5952-2274"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]},{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mayank Vatsa","raw_affiliation_strings":["IIIT-Delhi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIIT-Delhi","institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011779957","display_name":"Richa Singh","orcid":"https://orcid.org/0000-0003-4060-4573"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]},{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Richa Singh","raw_affiliation_strings":["IIIT-Delhi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIIT-Delhi","institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050320880","display_name":"Afzel Noore","orcid":"https://orcid.org/0000-0002-3406-7487"},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Afzel Noore","raw_affiliation_strings":["West Virginia University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"West Virginia University","institution_ids":["https://openalex.org/I12097938"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":86,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"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":0.9998999834060669,"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/T10751","display_name":"Forensic and Genetic Research","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9358000159263611,"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/spoofing-attack","display_name":"Spoofing attack","score":0.9614469408988953},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.8969501852989197},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7970088720321655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.780949592590332},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.6548904180526733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6271005868911743},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5173977613449097},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48209241032600403},{"id":"https://openalex.org/keywords/zernike-polynomials","display_name":"Zernike polynomials","score":0.4692140817642212},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4616571366786957},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4593738317489624},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3070545792579651}],"concepts":[{"id":"https://openalex.org/C167900197","wikidata":"https://www.wikidata.org/wiki/Q11081100","display_name":"Spoofing attack","level":2,"score":0.9614469408988953},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.8969501852989197},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7970088720321655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.780949592590332},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.6548904180526733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6271005868911743},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5173977613449097},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48209241032600403},{"id":"https://openalex.org/C92423082","wikidata":"https://www.wikidata.org/wiki/Q132146","display_name":"Zernike polynomials","level":3,"score":0.4692140817642212},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4616571366786957},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4593738317489624},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3070545792579651},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165699331","wikidata":"https://www.wikidata.org/wiki/Q461533","display_name":"Wavefront","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/btas.2016.7791168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/btas.2016.7791168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.4099999964237213,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1856525733","https://openalex.org/W1907066207","https://openalex.org/W1923137425","https://openalex.org/W1974556176","https://openalex.org/W1974821667","https://openalex.org/W1985110735","https://openalex.org/W1985636418","https://openalex.org/W1992358283","https://openalex.org/W2022596562","https://openalex.org/W2024178148","https://openalex.org/W2027539209","https://openalex.org/W2083231836","https://openalex.org/W2083811603","https://openalex.org/W2122759487","https://openalex.org/W2127011353","https://openalex.org/W2132462718","https://openalex.org/W2136975665","https://openalex.org/W2149064334","https://openalex.org/W2150817856","https://openalex.org/W2152413067","https://openalex.org/W3101824741","https://openalex.org/W4230888393","https://openalex.org/W6643979851"],"related_works":["https://openalex.org/W2162640687","https://openalex.org/W2018223046","https://openalex.org/W2759939383","https://openalex.org/W2294693339","https://openalex.org/W2952386695","https://openalex.org/W2355560018","https://openalex.org/W2147209541","https://openalex.org/W4231710054","https://openalex.org/W2563133041","https://openalex.org/W2557390811"],"abstract_inverted_index":{"Human":[0],"iris":[1,24,46,51,60,132,153,166,175,192,211,216],"is":[2,63,183,200],"considered":[3],"a":[4,80,109,129,137,146,190,214],"reliable":[5],"and":[6,56,135,149,209],"accurate":[7],"modality":[8],"for":[9,140,185,206],"biometric":[10,22],"recognition":[11,25],"due":[12,116],"to":[13,20,30,38,65,78,117],"its":[14],"unique":[15],"texture":[16],"information.":[17],"However,":[18,96],"similar":[19],"other":[21],"modalities,":[23],"systems":[26],"are":[27,49,76,162],"also":[28],"vulnerable":[29],"presentation":[31],"attacks":[32,48,134],"(commonly":[33],"called":[34],"spoofing)":[35],"that":[36,67,93],"attempt":[37],"conceal":[39],"or":[40],"impersonate":[41],"identity.":[42],"Examples":[43],"of":[44,59,69,83,131,173,198],"typical":[45],"spoofing":[47,84,105,133,154,217],"printed":[50],"images,":[52],"textured":[53],"contact":[54],"lenses,":[55],"synthetic":[57],"creation":[58],"images.":[61],"It":[62],"critical":[64],"note":[66],"majority":[68],"the":[70,74,111,165,174,203],"algorithms":[71,87],"proposed":[72,204],"in":[73,97,120,171,189],"literature":[75],"trained":[77],"handle":[79],"specific":[81],"type":[82],"attack.":[85,95],"These":[86],"usually":[88],"perform":[89,103],"very":[90],"well":[91],"on":[92,128,213],"particular":[94],"real-world":[98],"applications,":[99],"an":[100],"attacker":[101],"may":[102],"different":[104,121],"attacks.":[106,122,143],"In":[107,123],"such":[108,142],"case,":[110],"problem":[112],"becomes":[113],"more":[114],"challenging":[115],"inherent":[118],"variations":[119,170],"this":[124],"paper,":[125],"we":[126],"focus":[127],"medley":[130],"present":[136],"unified":[138],"framework":[139,156,205],"detecting":[141,207],"We":[144],"propose":[145],"novel":[147],"structural":[148],"textural":[150,187],"feature":[151],"based":[152],"detection":[155],"(DESIST).":[157],"Multi-order":[158],"dense":[159],"Zernike":[160],"moments":[161],"calculated":[163],"across":[164],"image":[167],"which":[168],"encode":[169],"structure":[172],"image.":[176,193],"Local":[177],"Binary":[178],"Pattern":[179],"with":[180],"Variance":[181],"(LBPV)":[182],"utilized":[184],"representing":[186],"changes":[188],"spoofed":[191,210],"The":[194],"highest":[195],"classification":[196],"accuracy":[197],"82.20%":[199],"observed":[201],"by":[202],"normal":[208],"images":[212],"combined":[215],"database.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}