{"id":"https://openalex.org/W4390938658","doi":"https://doi.org/10.1109/tbiom.2024.3355136","title":"Learning Joint Local-Global Iris Representations via Spatial Calibration for Generalized Presentation Attack Detection","display_name":"Learning Joint Local-Global Iris Representations via Spatial Calibration for Generalized Presentation Attack Detection","publication_year":2024,"publication_date":"2024-01-17","ids":{"openalex":"https://openalex.org/W4390938658","doi":"https://doi.org/10.1109/tbiom.2024.3355136"},"language":"en","primary_location":{"id":"doi:10.1109/tbiom.2024.3355136","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbiom.2024.3355136","pdf_url":null,"source":{"id":"https://openalex.org/S4210209367","display_name":"IEEE Transactions on Biometrics Behavior and Identity Science","issn_l":"2637-6407","issn":["2637-6407"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biometrics, Behavior, and Identity Science","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/A5081558484","display_name":"Gaurav Jaswal","orcid":"https://orcid.org/0000-0002-3971-0160"},"institutions":[{"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":"Gaurav Jaswal","raw_affiliation_strings":["Electrical Engineering Department, Indian Institute of Technology Delhi, New Delhi, India"],"raw_orcid":"https://orcid.org/0000-0002-3971-0160","affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Indian Institute of Technology Delhi, New Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049629789","display_name":"Aman Verma","orcid":"https://orcid.org/0000-0001-7436-1325"},"institutions":[{"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":"Aman Verma","raw_affiliation_strings":["Electrical Engineering Department, Indian Institute of Technology Delhi, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Indian Institute of Technology Delhi, New Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054273103","display_name":"Sumantra Dutta Roy","orcid":"https://orcid.org/0000-0002-2141-5067"},"institutions":[{"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":"Sumantra Dutta Roy","raw_affiliation_strings":["Electrical Engineering Department, Indian Institute of Technology Delhi, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Indian Institute of Technology Delhi, New Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073391891","display_name":"Raghavendra Ramachandra","orcid":"https://orcid.org/0000-0003-0484-3956"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Raghavendra Ramachandra","raw_affiliation_strings":["Information Security and Communication Technology, Norwegian University of Science and Technology Norway, Gjøvik, Norway"],"raw_orcid":"https://orcid.org/0000-0003-0484-3956","affiliations":[{"raw_affiliation_string":"Information Security and Communication Technology, Norwegian University of Science and Technology Norway, Gjøvik, Norway","institution_ids":["https://openalex.org/I204778367"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6893,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83218913,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"6","issue":"2","first_page":"195","last_page":"208"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9879999756813049,"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":0.9879999756813049,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8064894080162048},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7214722633361816},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6938916444778442},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.685202419757843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6170305013656616},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5721625685691833},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5158897638320923},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5074188113212585},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48398613929748535},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4698167145252228},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4696340560913086},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3905632495880127},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34011417627334595},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21218007802963257},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14362266659736633},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1096421480178833},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.0683198869228363},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06813576817512512}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8064894080162048},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7214722633361816},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6938916444778442},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.685202419757843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6170305013656616},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5721625685691833},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5158897638320923},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5074188113212585},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48398613929748535},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4698167145252228},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4696340560913086},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3905632495880127},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34011417627334595},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21218007802963257},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14362266659736633},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1096421480178833},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0683198869228363},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06813576817512512},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/tbiom.2024.3355136","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbiom.2024.3355136","pdf_url":null,"source":{"id":"https://openalex.org/S4210209367","display_name":"IEEE Transactions on Biometrics Behavior and Identity Science","issn_l":"2637-6407","issn":["2637-6407"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biometrics, Behavior, and Identity Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1844422699","https://openalex.org/W1879242765","https://openalex.org/W1992358283","https://openalex.org/W2024178148","https://openalex.org/W2027539209","https://openalex.org/W2068779413","https://openalex.org/W2097117768","https://openalex.org/W2122759487","https://openalex.org/W2136975665","https://openalex.org/W2151532442","https://openalex.org/W2194775991","https://openalex.org/W2563133041","https://openalex.org/W2613902731","https://openalex.org/W2752782242","https://openalex.org/W2787293095","https://openalex.org/W2893897946","https://openalex.org/W2898885647","https://openalex.org/W2901980812","https://openalex.org/W2907969044","https://openalex.org/W2962858109","https://openalex.org/W2963070273","https://openalex.org/W2963446712","https://openalex.org/W2964009128","https://openalex.org/W2964253184","https://openalex.org/W2969725773","https://openalex.org/W3010292427","https://openalex.org/W3011895174","https://openalex.org/W3034752215","https://openalex.org/W3048700387","https://openalex.org/W3085828586","https://openalex.org/W3088317614","https://openalex.org/W3097861896","https://openalex.org/W3101554807","https://openalex.org/W3114415986","https://openalex.org/W3118514458","https://openalex.org/W3120866375","https://openalex.org/W3120945007","https://openalex.org/W3159850320","https://openalex.org/W3160808212","https://openalex.org/W3162881418","https://openalex.org/W3184716035","https://openalex.org/W3216454521","https://openalex.org/W4223627934","https://openalex.org/W4224919881","https://openalex.org/W4232109309","https://openalex.org/W4285249201","https://openalex.org/W4289752563","https://openalex.org/W4297745076","https://openalex.org/W4312426184","https://openalex.org/W4313118728","https://openalex.org/W4319299996","https://openalex.org/W4321609542","https://openalex.org/W4375868858","https://openalex.org/W4376460968","https://openalex.org/W6678174250","https://openalex.org/W6754895985","https://openalex.org/W6758864462"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W3208297503","https://openalex.org/W3119773509","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353"],"abstract_inverted_index":{"Existing":[0],"Iris":[1],"Presentation":[2],"Attack":[3],"Detection":[4],"(IPAD)":[5],"systems":[6],"do":[7],"not":[8],"generalize":[9],"well":[10],"across":[11,72],"datasets,":[12],"sensors":[13],"and":[14,30,32,48,59,91,103],"subjects.":[15],"The":[16,36],"main":[17],"reason":[18],"for":[19,83],"the":[20,23,66,84,110,131],"same":[21],"is":[22],"presence":[24],"of":[25,68,130],"similarities":[26],"in":[27,97],"bonafide":[28],"samples":[29],"attacks,":[31],"intricate":[33],"iris":[34,54],"textures.":[35],"proposed":[37,132],"DFCANet":[38,78,98],"(Dense":[39],"Feature":[40],"Calibration":[41],"Attention-Assisted":[42],"Network)":[43],"uses":[44],"feature":[45,55,70,127],"calibration":[46],"convolution":[47],"residual":[49],"learning":[50,71,96],"to":[51,75],"generate":[52],"domain-specific":[53,126],"representations":[56],"at":[57],"local":[58],"global":[60],"scales.":[61],"DFCANet\u2019s":[62],"channel":[63],"attention":[64],"enables":[65],"use":[67],"discriminative":[69],"channels.":[73],"Compared":[74],"state-of-the-art":[76],"methods,":[77],"achieves":[79],"significant":[80],"performance":[81],"gains":[82],"IIITDCLI,":[85],"IIITD-WVU,":[86],"IIIT-CSD,":[87],"Clarkson-15,":[88],"Clarkson-17,":[89],"NDCLD-13,":[90],"NDCLD-15":[92],"benchmark":[93],"datasets.":[94],"Incremental":[95],"overcomes":[99],"data":[100],"scarcity":[101],"issues":[102],"cross-domain":[104],"challenges.":[105],"This":[106],"paper":[107],"also":[108],"pursues":[109],"challenging":[111],"soft-lens":[112],"attack":[113],"scenarios.":[114],"An":[115],"additional":[116],"study":[117],"conducted":[118],"over":[119],"contact":[120],"lens":[121],"detection":[122],"task":[123],"suggests":[124],"high":[125],"modeling":[128],"capacities":[129],"network.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}