{"id":"https://openalex.org/W4224920247","doi":"https://doi.org/10.1109/icassp43922.2022.9746090","title":"Deep Learning Based Off-Angle Iris Recognition","display_name":"Deep Learning Based Off-Angle Iris Recognition","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4224920247","doi":"https://doi.org/10.1109/icassp43922.2022.9746090"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9746090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746090","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5003827896","display_name":"Ehsaneddin Jalilian","orcid":"https://orcid.org/0000-0001-5925-5735"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Ehsaneddin Jalilian","raw_affiliation_strings":["University of Salzburg,Department of Computer Science,Salzburg,Austria,5020"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Salzburg,Department of Computer Science,Salzburg,Austria,5020","institution_ids":["https://openalex.org/I182212641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007045083","display_name":"Georg Wimmer","orcid":"https://orcid.org/0000-0001-5529-0154"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Georg Wimmer","raw_affiliation_strings":["University of Salzburg,Department of Computer Science,Salzburg,Austria,5020"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Salzburg,Department of Computer Science,Salzburg,Austria,5020","institution_ids":["https://openalex.org/I182212641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062946437","display_name":"Andreas Uhl","orcid":"https://orcid.org/0000-0002-5921-8755"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Andreas Uhl","raw_affiliation_strings":["University of Salzburg,Department of Computer Science,Salzburg,Austria,5020"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Salzburg,Department of Computer Science,Salzburg,Austria,5020","institution_ids":["https://openalex.org/I182212641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060643572","display_name":"Mahmut Karakaya","orcid":"https://orcid.org/0000-0001-5087-0918"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Mahmut Karakaya","raw_affiliation_strings":["University of Salzburg,Department of Computer Science,Salzburg,Austria,5020"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Salzburg,Department of Computer Science,Salzburg,Austria,5020","institution_ids":["https://openalex.org/I182212641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I182212641"],"apc_list":null,"apc_paid":null,"fwci":2.2148,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.89973869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4048","last_page":"4052"},"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/T11448","display_name":"Face recognition and analysis","score":0.9747999906539917,"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/iris-recognition","display_name":"Iris recognition","score":0.9113371968269348},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.9001470804214478},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.802562952041626},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7896422147750854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7749057412147522},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.734552264213562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7229701280593872},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5822256803512573},{"id":"https://openalex.org/keywords/viewing-angle","display_name":"Viewing angle","score":0.44499245285987854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37001776695251465}],"concepts":[{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.9113371968269348},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.9001470804214478},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.802562952041626},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7896422147750854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7749057412147522},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.734552264213562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7229701280593872},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5822256803512573},{"id":"https://openalex.org/C2776694159","wikidata":"https://www.wikidata.org/wiki/Q351676","display_name":"Viewing angle","level":3,"score":0.44499245285987854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37001776695251465},{"id":"https://openalex.org/C128019096","wikidata":"https://www.wikidata.org/wiki/Q83341","display_name":"Liquid-crystal display","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9746090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746090","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":17,"referenced_works":["https://openalex.org/W1968578043","https://openalex.org/W2090425678","https://openalex.org/W2096733369","https://openalex.org/W2118282683","https://openalex.org/W2163155631","https://openalex.org/W2279098554","https://openalex.org/W2514183423","https://openalex.org/W2563705555","https://openalex.org/W2741839910","https://openalex.org/W2766373199","https://openalex.org/W2776621604","https://openalex.org/W2780564062","https://openalex.org/W2941585286","https://openalex.org/W2942211779","https://openalex.org/W3083311110","https://openalex.org/W3177769278","https://openalex.org/W6695314431"],"related_works":["https://openalex.org/W2162640687","https://openalex.org/W2759939383","https://openalex.org/W2952386695","https://openalex.org/W2355560018","https://openalex.org/W2147209541","https://openalex.org/W4231710054","https://openalex.org/W2557390811","https://openalex.org/W3133795085","https://openalex.org/W3213945064","https://openalex.org/W2784078054"],"abstract_inverted_index":{"Even":[0],"with":[1,46,124,147,155],"trained":[2,45,146],"operators":[3],"and":[4,25,131,189],"cooperative":[5],"subjects,":[6],"it":[7],"is":[8],"still":[9],"possible":[10],"to":[11,53,91],"capture":[12],"off-angle":[13,30,134],"iris":[14,22,31,57,93,95,153],"images.":[15],"Considering":[16],"the":[17,26,38,47,64,70,85,102,109,128,144,148,152,166,172,176,180,183,187,191,198,201],"recent":[18],"demands":[19],"for":[20,56,69,182],"stand-off":[21],"biometric":[23],"systems":[24],"trend":[27],"towards":[28],"\"on-the-move-acquisition\",":[29],"recognition":[32,72,110],"became":[33],"a":[34],"hot":[35],"topic":[36],"within":[37],"biometrics":[39],"community.":[40],"In":[41],"this":[42],"work,":[43],"CNNs":[44],"triplet":[48,149],"loss":[49,150],"function":[50],"are":[51,66,75,113,178],"applied":[52,114],"extract":[54],"features":[55],"recognition.":[58],"To":[59,100],"analyze":[60,101],"which":[61],"parts":[62,83,185],"of":[63,84,104,143,186,200],"eye":[65,86,89,97,188],"most":[67],"suited":[68],"CNN-based":[71],"system,":[73],"experiments":[74,112],"carried":[76],"out":[77],"using":[78],"image":[79,122,135],"data":[80,123],"from":[81],"different":[82,105,117,184],"(full":[87],"eye,":[88],"zoomed":[90],"iris,":[92],"only,":[94],"normalized,":[96],"without":[98],"iris).":[99],"impact":[103],"gaze":[106,118,129,158,167,192],"angles":[107,119,159,168],"on":[108,151],"performance,":[111],"on:":[115],"(1)":[116],"separately,":[120],"(2)":[121],"increasing":[125],"differences":[126,164],"in":[127,165],"angles,":[130],"(3)":[132],"corrected":[133],"data.":[136],"The":[137],"experiment":[138],"results":[139,177],"show":[140],"superior":[141],"performance":[142,199],"CNN":[145],"images":[154,170],"more":[156],"lateral":[157],"(\u2265":[160],"30\u00b0).":[161],"However,":[162],"higher":[163],"between":[169],"deteriorate":[171],"network":[173],"performance.":[174],"Also,":[175],"about":[179],"same":[181],"correcting":[190],"angle":[193],"did":[194],"not":[195],"really":[196],"improve":[197],"CNN.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
