{"id":"https://openalex.org/W3005944935","doi":"https://doi.org/10.1109/icb45273.2019.8987266","title":"Obtaining Stable Iris Codes Exploiting Low-Rank Tensor Space and Spatial Structure Aware Refinement for Better Iris Recognition","display_name":"Obtaining Stable Iris Codes Exploiting Low-Rank Tensor Space and Spatial Structure Aware Refinement for Better Iris Recognition","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W3005944935","doi":"https://doi.org/10.1109/icb45273.2019.8987266","mag":"3005944935"},"language":"en","primary_location":{"id":"doi:10.1109/icb45273.2019.8987266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb45273.2019.8987266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Biometrics (ICB)","raw_type":"proceedings-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/A5103267422","display_name":"Kiran B. Raja","orcid":"https://orcid.org/0000-0003-4852-3620"},"institutions":[{"id":"https://openalex.org/I2801380234","display_name":"University of South-Eastern Norway","ror":"https://ror.org/05ecg5h20","country_code":"NO","type":"education","lineage":["https://openalex.org/I2801380234"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Kiran B. Raja","raw_affiliation_strings":["University of South-Eastern Norway (USN)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of South-Eastern Norway (USN)","institution_ids":["https://openalex.org/I2801380234"]}]},{"author_position":"middle","author":{"id":null,"display_name":"R. Raghavendra","orcid":null},"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":"R. Raghavendra","raw_affiliation_strings":["NTNU,Norwegian Biometrics Laboratory,Gjøvik,Norway","Norwegian Biometrics Laboratory, NTNU, Gj\u00f8vik, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTNU,Norwegian Biometrics Laboratory,Gjøvik,Norway","institution_ids":["https://openalex.org/I204778367"]},{"raw_affiliation_string":"Norwegian Biometrics Laboratory, NTNU, Gj\u00f8vik, Norway","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017716310","display_name":"Christoph Busch","orcid":"https://orcid.org/0000-0002-9159-2923"},"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":"Christoph Busch","raw_affiliation_strings":["NTNU,Norwegian Biometrics Laboratory,Gjøvik,Norway","Norwegian Biometrics Laboratory, NTNU, Gj\u00f8vik, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTNU,Norwegian Biometrics Laboratory,Gjøvik,Norway","institution_ids":["https://openalex.org/I204778367"]},{"raw_affiliation_string":"Norwegian Biometrics Laboratory, NTNU, Gj\u00f8vik, Norway","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3338,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59413233,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9580000042915344,"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/T10057","display_name":"Face and Expression Recognition","score":0.9564999938011169,"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/biometrics","display_name":"Biometrics","score":0.811799168586731},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.7806041836738586},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6966532468795776},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6045444011688232},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6040839552879333},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5833669900894165},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5510544776916504},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.5401574373245239},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5116779804229736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5076626539230347},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.42825955152511597},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37098953127861023},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.3664378523826599},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26049619913101196}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.811799168586731},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.7806041836738586},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6966532468795776},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6045444011688232},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6040839552879333},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5833669900894165},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5510544776916504},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.5401574373245239},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5116779804229736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5076626539230347},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.42825955152511597},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37098953127861023},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3664378523826599},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26049619913101196},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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:10.1109/icb45273.2019.8987266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb45273.2019.8987266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Biometrics (ICB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W63384232","https://openalex.org/W178227285","https://openalex.org/W1595306499","https://openalex.org/W1985110735","https://openalex.org/W1995054709","https://openalex.org/W2017635038","https://openalex.org/W2035941890","https://openalex.org/W2043571470","https://openalex.org/W2099278510","https://openalex.org/W2102525097","https://openalex.org/W2102584639","https://openalex.org/W2152413067","https://openalex.org/W2155580706","https://openalex.org/W2157168442","https://openalex.org/W2161087606","https://openalex.org/W2164598857","https://openalex.org/W2195934234","https://openalex.org/W2209174485","https://openalex.org/W2212252382","https://openalex.org/W2293879958","https://openalex.org/W2510055812","https://openalex.org/W2520287285","https://openalex.org/W2542468035","https://openalex.org/W2590560192","https://openalex.org/W2730947821","https://openalex.org/W2757153578","https://openalex.org/W2963664109","https://openalex.org/W2963885538","https://openalex.org/W2965039693","https://openalex.org/W4230888393","https://openalex.org/W6607197667","https://openalex.org/W6750832535"],"related_works":["https://openalex.org/W2162640687","https://openalex.org/W2018223046","https://openalex.org/W2759939383","https://openalex.org/W2294693339","https://openalex.org/W2355560018","https://openalex.org/W2147209541","https://openalex.org/W4231710054","https://openalex.org/W2952386695","https://openalex.org/W2557390811","https://openalex.org/W3133795085"],"abstract_inverted_index":{"The":[0],"strength":[1],"of":[2,7,45,65,130,172,177,183,188],"iris":[3,32,40,87,104,136],"recognition":[4],"in":[5,18,123,191],"terms":[6],"optimal":[8],"biometric":[9],"performance":[10,152],"has":[11],"been":[12],"challenged":[13],"by":[14,107],"inevitable":[15],"operational":[16,192],"conditions":[17,47],"unconstrained":[19,142],"scenarios.":[20,193],"In":[21],"this":[22],"work":[23],"we":[24,72,144],"present":[25],"a":[26,43,124,169],"new":[27],"approach":[28,97,190],"for":[29,37,148],"extracting":[30],"stable":[31,56,75,99],"weight":[33,105],"maps":[34,106],"to":[35,54,81,113],"account":[36],"the":[38,63,74,84,90,95,109,128,146,186],"noisy":[39],"representation":[41,80],"as":[42],"result":[44],"capture":[46],"and":[48,141,150,168],"ineluctable":[49],"segmentation":[50,115],"errors.":[51],"Traditional":[52],"approaches":[53],"extract":[55],"bits":[57,111],"often":[58],"ignore":[59],"inter-code":[60],"relations":[61],"under":[62,139],"presence":[64],"multiple":[66,91],"enrolment":[67,92],"samples.":[68,93],"Unlike":[69],"previous":[70],"works,":[71],"formulate":[73],"code":[76],"extraction":[77],"using":[78,89,120],"tensor":[79],"exactly":[82],"recover":[83],"low-rank":[85],"non-noisy":[86],"information":[88],"Further,":[94],"proposed":[96,189],"produces":[98],"class":[100],"specific":[101],"(user":[102],"specific)":[103],"eliminating":[108],"error":[110],"due":[112],"sub-optimal":[114],"or":[116],"pupil":[117],"dilation":[118],"effects":[119],"spatial":[121],"correspondence":[122],"patch-wise":[125],"manner.":[126],"Through":[127],"set":[129],"experiments":[131],"on":[132,160],"two":[133],"publicly":[134],"available":[135],"databases":[137],"acquired":[138],"semi-constrained":[140],"setting,":[143],"demonstrate":[145],"superiority":[147],"identification":[149,158],"verification":[151,170],"over":[153],"current":[154],"state-of-the-art":[155],"algorithms.":[156],"Rank-1":[157],"rate":[159],"CASIAv4":[161],"distance":[162],"database":[163],"is":[164],"achieved":[165],"at":[166,179],"93.3%":[167],"accuracy":[171],"Genuine":[173],"Match":[174,181],"Rate":[175],"(GMR)":[176],"80%":[178],"False":[180],"Rate(FMR)":[182],"0.0001":[184],"indicating":[185],"applicability":[187]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}