{"id":"https://openalex.org/W2107810126","doi":"https://doi.org/10.1109/icb.2013.6612991","title":"A feature-level solution to off-angle iris recognition","display_name":"A feature-level solution to off-angle iris recognition","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2107810126","doi":"https://doi.org/10.1109/icb.2013.6612991","mag":"2107810126"},"language":"en","primary_location":{"id":"doi:10.1109/icb.2013.6612991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb.2013.6612991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Biometrics (ICB)","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/A5101678769","display_name":"Xingguang Li","orcid":"https://orcid.org/0000-0002-5964-8843"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xingguang Li","raw_affiliation_strings":["Departrnent of Automation, USTC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departrnent of Automation, USTC","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115588578","display_name":"Libin Wang","orcid":"https://orcid.org/0000-0001-7422-0290"},"institutions":[{"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":"Libin Wang","raw_affiliation_strings":["Center for Research on Intelligent Perception and Computing, CASIA, National Laboratory of Pattern Recognition, China","Center for Research on Intelligent Perception and Computing National Laboratory of Pattern Recognition, Casia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing, CASIA, National Laboratory of Pattern Recognition, China","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing National Laboratory of Pattern Recognition, Casia","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055505703","display_name":"Zhenan Sun","orcid":"https://orcid.org/0000-0003-4029-9935"},"institutions":[{"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":["Center for Research on Intelligent Perception and Computing, CASIA, National Laboratory of Pattern Recognition, China","Center for Research on Intelligent Perception and Computing National Laboratory of Pattern Recognition, Casia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing, CASIA, National Laboratory of Pattern Recognition, China","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing National Laboratory of Pattern Recognition, Casia","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111885963","display_name":"Tieniu Tan","orcid":null},"institutions":[{"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":"Tieniu Tan","raw_affiliation_strings":["Center for Research on Intelligent Perception and Computing, CASIA, National Laboratory of Pattern Recognition, China","Center for Research on Intelligent Perception and Computing National Laboratory of Pattern Recognition, Casia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing, CASIA, National Laboratory of Pattern Recognition, China","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing National Laboratory of Pattern Recognition, Casia","institution_ids":["https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7045,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.68336964,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"31","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"}}],"keywords":[{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.892535924911499},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.8433459401130676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7828948497772217},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6831831932067871},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6747921705245972},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6232662796974182},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6030742526054382},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5208073854446411},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5132601261138916},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44369152188301086},{"id":"https://openalex.org/keywords/ordinal-regression","display_name":"Ordinal regression","score":0.42190441489219666},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.1971169114112854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08911454677581787}],"concepts":[{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.892535924911499},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.8433459401130676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7828948497772217},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6831831932067871},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6747921705245972},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6232662796974182},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6030742526054382},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5208073854446411},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5132601261138916},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44369152188301086},{"id":"https://openalex.org/C110313322","wikidata":"https://www.wikidata.org/wiki/Q7100793","display_name":"Ordinal regression","level":2,"score":0.42190441489219666},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.1971169114112854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08911454677581787},{"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/icb.2013.6612991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb.2013.6612991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Biometrics (ICB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W2002105801","https://openalex.org/W2038132797","https://openalex.org/W2058701903","https://openalex.org/W2078104826","https://openalex.org/W2100603595","https://openalex.org/W2103017672","https://openalex.org/W2134996013","https://openalex.org/W2140427427","https://openalex.org/W2149999708","https://openalex.org/W2153635508","https://openalex.org/W2158363907","https://openalex.org/W2167075312","https://openalex.org/W6650918986","https://openalex.org/W6675513886"],"related_works":["https://openalex.org/W2162640687","https://openalex.org/W2759939383","https://openalex.org/W2355560018","https://openalex.org/W2147209541","https://openalex.org/W4231710054","https://openalex.org/W2952386695","https://openalex.org/W2557390811","https://openalex.org/W3133795085","https://openalex.org/W3213945064","https://openalex.org/W2784078054"],"abstract_inverted_index":{"For":[0],"iris":[1,13,27,34,50,68,91,97,111,133],"recognition,":[2],"it":[3],"is":[4,30,80,99],"inevitable":[5],"to":[6,25,48,63,82,108],"encounter":[7],"a":[8,22,72],"large":[9],"portion":[10],"of":[11,42,67,89],"off-angle":[12,26,65,96,132],"images":[14,51],"in":[15],"less":[16,31],"constrained":[17],"conditions.":[18],"This":[19],"paper":[20],"proposes":[21],"feature-level":[23,123],"solution":[24,124],"recognition":[28],"which":[29],"dependent":[32],"on":[33,77,115,131],"image":[35,98,134],"preprocessing.":[36,135],"Firstly,":[37],"we":[38],"use":[39],"geometric":[40],"features":[41,88],"corneal":[43],"reflections":[44],"and":[45,60],"multiclass":[46],"SVM":[47],"classify":[49],"into":[52],"five":[53],"categories":[54],"(i.e.,":[55],"frontal,":[56],"right,":[57],"left,":[58],"up":[59],"down)":[61],"according":[62],"the":[64,84,94,102,109,116,127],"orientation":[66],"region.":[69],"And":[70],"then":[71],"feature":[73,105],"learning":[74],"method":[75],"based":[76,130],"linear":[78],"programming":[79],"used":[81],"select":[83],"most":[85],"effective":[86],"ordinal":[87,104],"each":[90],"category.":[92,112],"Finally,":[93],"input":[95],"recognized":[100],"with":[101],"specific":[103],"template":[106],"belonging":[107],"corresponding":[110],"Experimental":[113],"results":[114],"Clarkson":[117],"Angle":[118],"database":[119],"demonstrate":[120],"that":[121],"our":[122],"significantly":[125],"outperforms":[126],"mainstream":[128],"methods":[129]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}