{"id":"https://openalex.org/W3203507579","doi":"https://doi.org/10.1109/tcsvt.2021.3117291","title":"Cross-Spectral Iris Recognition by Learning Device-Specific Band","display_name":"Cross-Spectral Iris Recognition by Learning Device-Specific Band","publication_year":2021,"publication_date":"2021-10-05","ids":{"openalex":"https://openalex.org/W3203507579","doi":"https://doi.org/10.1109/tcsvt.2021.3117291","mag":"3203507579"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2021.3117291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3117291","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5048192467","display_name":"Jianze Wei","orcid":"https://orcid.org/0000-0002-5774-6765"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"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":"Jianze Wei","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5774-6765","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398969","display_name":"Yunlong Wang","orcid":"https://orcid.org/0000-0002-3535-308X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlong Wang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3535-308X","affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100421473","display_name":"Yi Li","orcid":"https://orcid.org/0000-0002-2856-7290"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Li","raw_affiliation_strings":["School of Artificial Intelligence, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-2856-7290","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112749024","display_name":"Ran He","orcid":"https://orcid.org/0000-0002-3807-991X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran He","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3807-991X","affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055505703","display_name":"Zhenan Sun","orcid":"https://orcid.org/0000-0003-4029-9935"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenan Sun","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4029-9935","affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5048192467"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210100255","https://openalex.org/I4210112150","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":3.5469,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.93771742,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"32","issue":"6","first_page":"3810","last_page":"3824"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9815999865531921,"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/T11448","display_name":"Face recognition and analysis","score":0.963699996471405,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6119192838668823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5482634902000427},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.47913309931755066},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.42704761028289795},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40224558115005493},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34159815311431885},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2548072934150696},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.1549193263053894}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6119192838668823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5482634902000427},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.47913309931755066},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.42704761028289795},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40224558115005493},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34159815311431885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2548072934150696},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.1549193263053894},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2021.3117291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3117291","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1859118380","display_name":null,"funder_award_id":"2015109","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G2255493700","display_name":null,"funder_award_id":"62006225","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3666211740","display_name":null,"funder_award_id":"JQ18017","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G382567186","display_name":null,"funder_award_id":"62071468","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6016211011","display_name":null,"funder_award_id":"202100032","funder_id":"https://openalex.org/F4320326873","funder_display_name":"National Laboratory of Pattern Recognition"},{"id":"https://openalex.org/G6261893707","display_name":null,"funder_award_id":"61622310","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G647925007","display_name":null,"funder_award_id":"XDA27040700","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G8525382974","display_name":null,"funder_award_id":"U1836217","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"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"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320326873","display_name":"National Laboratory of Pattern Recognition","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1598497886","https://openalex.org/W1925193522","https://openalex.org/W1936860008","https://openalex.org/W1974821667","https://openalex.org/W1988600563","https://openalex.org/W1990438568","https://openalex.org/W2016957240","https://openalex.org/W2020439936","https://openalex.org/W2020754786","https://openalex.org/W2048710937","https://openalex.org/W2056269298","https://openalex.org/W2057266281","https://openalex.org/W2071838780","https://openalex.org/W2096733369","https://openalex.org/W2096943734","https://openalex.org/W2099278510","https://openalex.org/W2099471712","https://openalex.org/W2102796633","https://openalex.org/W2112200035","https://openalex.org/W2114487485","https://openalex.org/W2115403315","https://openalex.org/W2121693976","https://openalex.org/W2122838776","https://openalex.org/W2131953535","https://openalex.org/W2140959843","https://openalex.org/W2149466042","https://openalex.org/W2149999708","https://openalex.org/W2170607218","https://openalex.org/W2194775991","https://openalex.org/W2306164244","https://openalex.org/W2406636867","https://openalex.org/W2517933622","https://openalex.org/W2520774990","https://openalex.org/W2531214401","https://openalex.org/W2535044092","https://openalex.org/W2563285880","https://openalex.org/W2593768305","https://openalex.org/W2598634450","https://openalex.org/W2600685225","https://openalex.org/W2606214531","https://openalex.org/W2616287544","https://openalex.org/W2769354114","https://openalex.org/W2776621604","https://openalex.org/W2777427179","https://openalex.org/W2780564062","https://openalex.org/W2781534778","https://openalex.org/W2788769393","https://openalex.org/W2798377719","https://openalex.org/W2799891027","https://openalex.org/W2888902882","https://openalex.org/W2895416001","https://openalex.org/W2897999946","https://openalex.org/W2962687275","https://openalex.org/W2963275094","https://openalex.org/W2963460857","https://openalex.org/W2963968629","https://openalex.org/W2964722723","https://openalex.org/W3083710176","https://openalex.org/W6678296315","https://openalex.org/W6683245480","https://openalex.org/W6713955831","https://openalex.org/W6735531217","https://openalex.org/W6750109254"],"related_works":["https://openalex.org/W1891287906","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W2755342338","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2058170566"],"abstract_inverted_index":{"Cross-spectral":[0],"recognition":[1,41,53],"is":[2],"still":[3],"an":[4],"open":[5],"challenge":[6],"in":[7,27,40],"iris":[8,12,52,88,211,222],"recognition.":[9,223],"In":[10,63],"cross-spectral":[11,51,221],"recognition,":[13],"there":[14],"exist":[15],"distinct":[16],"device-specific":[17,61,97,113,121],"bands":[18,122],"between":[19,31],"near-infrared":[20],"(NIR)":[21],"and":[22,36,93,181,204],"visible":[23],"(VIS)":[24],"images,":[25],"resulting":[26],"the":[28,64,82,96,100,105,112,118,134,197,214],"distribution":[29,135,198,205],"gap":[30,199],"samples":[32,176],"from":[33,184],"different":[34,91],"spectra":[35],"thus":[37],"severe":[38],"degradation":[39],"performance.":[42],"To":[43],"tackle":[44],"this":[45],"problem,":[46],"we":[47,127,189],"propose":[48],"a":[49,152,191],"new":[50],"method":[54,219],"to":[55,86,103,131,156,177,195,201],"learn":[56],"spectral-invariant":[57,108],"features":[58],"by":[59,174],"estimating":[60],"bands.":[62],"proposed":[65,218],"method,":[66],"<bold":[67,71,75,138,142,146,161,165],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[68,72,76,139,143,147,162,166],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">G</b>":[69],"abor":[70],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">T</b>":[73],"rident":[74],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">N</b>":[77,148],"etwork":[78,149],"(GTN)":[79],"first":[80],"utilizes":[81],"Gabor":[83],"function\u2019s":[84],"priors":[85],"perceive":[87],"textures":[89],"under":[90],"spectra,":[92],"then":[94],"codes":[95],"band":[98],"as":[99],"residual":[101],"component":[102],"assist":[104],"generation":[106],"of":[107,120,216],"features.":[109,125],"By":[110],"investigating":[111],"band,":[114],"GTN":[115],"effectively":[116],"reduces":[117],"impact":[119],"on":[123,209],"identity":[124],"Besides,":[126],"make":[128],"three":[129],"efforts":[130],"further":[132],"reduce":[133],"gap.":[136],"First,":[137],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">S</b>":[140,163],"pectral":[141],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">A</b>":[144,167],"dversarial":[145],"(SAN)":[150],"adopts":[151],"class-level":[153],"adversarial":[154],"strategy":[155],"align":[157],"feature":[158],"distributions.":[159],"Second,":[160],"ample-":[164],"nchor":[168],"(SA)":[169],"loss":[170,173,194],"upgrades":[171],"triplet":[172],"pulling":[175],"their":[178],"class":[179,186],"center":[180],"pushing":[182],"away":[183],"other":[185],"centers.":[187],"Third,":[188],"develop":[190],"higher-order":[192],"alignment":[193],"measures":[196],"according":[200],"space":[202],"bases":[203],"shapes.":[206],"Extensive":[207],"experiments":[208],"five":[210],"datasets":[212],"demonstrate":[213],"efficacy":[215],"our":[217],"for":[220]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
