{"id":"https://openalex.org/W3030866561","doi":"https://doi.org/10.1145/3374135.3385323","title":"Long Range Iris Recognition a Reality or a Myth?","display_name":"Long Range Iris Recognition a Reality or a Myth?","publication_year":2020,"publication_date":"2020-04-02","ids":{"openalex":"https://openalex.org/W3030866561","doi":"https://doi.org/10.1145/3374135.3385323","mag":"3030866561"},"language":"en","primary_location":{"id":"doi:10.1145/3374135.3385323","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3374135.3385323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM Southeast Conference","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/A5081879366","display_name":"Jing He","orcid":"https://orcid.org/0000-0001-6488-1052"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Selena He","raw_affiliation_strings":["Kennesaw State University, Marietta, GA, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kennesaw State University, Marietta, GA, United States","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077766154","display_name":"Mingyuan Yan","orcid":"https://orcid.org/0000-0002-5211-7329"},"institutions":[{"id":"https://openalex.org/I924760719","display_name":"University of North Georgia","ror":"https://ror.org/001pe5g24","country_code":"US","type":"education","lineage":["https://openalex.org/I924760719"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingyuan Yan","raw_affiliation_strings":["University of North Georgia, Dahlonega, GA, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Georgia, Dahlonega, GA, United States","institution_ids":["https://openalex.org/I924760719"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043701781","display_name":"Sahil Arora","orcid":"https://orcid.org/0000-0002-2459-5809"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sahil Arora","raw_affiliation_strings":["Kennesaw State University, Marietta, GA, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kennesaw State University, Marietta, GA, United States","institution_ids":["https://openalex.org/I172980758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"305","last_page":"306"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":1.0,"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":1.0,"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/T11800","display_name":"User Authentication and Security Systems","score":0.9714000225067139,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9527000188827515,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.9470414519309998},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.8270595073699951},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7689936757087708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7286344170570374},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6046661138534546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5845648646354675},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3226204216480255}],"concepts":[{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.9470414519309998},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.8270595073699951},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7689936757087708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7286344170570374},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6046661138534546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5845648646354675},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3226204216480255}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3374135.3385323","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3374135.3385323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM Southeast Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1516512487","https://openalex.org/W2102796633","https://openalex.org/W2104682119","https://openalex.org/W2730947821","https://openalex.org/W2766373199"],"related_works":["https://openalex.org/W2086178285","https://openalex.org/W2113465366","https://openalex.org/W1581329577","https://openalex.org/W2058423241","https://openalex.org/W2004816544","https://openalex.org/W2941585286","https://openalex.org/W2129525038","https://openalex.org/W2370714421","https://openalex.org/W2295388986","https://openalex.org/W2067275498"],"abstract_inverted_index":{"Iris":[0,25,99,126,147,165],"refers":[1],"to":[2,22,34,56,69,87,121,128,155,160],"the":[3,9,50,57,73,82,123,141],"exceptionally":[4],"finished":[5],"annular":[6],"segment":[7],"of":[8,49,72,125,144],"eye":[10,58],"that":[11,77],"is":[12,113,153],"obvious.":[13],"An":[14],"iris":[15,51,61,83],"recognition":[16,26,62],"system":[17,149],"abuses":[18],"these":[19,158],"textural":[20,47],"examples":[21],"recognize":[23],"people.":[24],"systems":[27,63],"have":[28],"different":[29,142],"applications,":[30],"for":[31,98,118],"example,":[32],"get":[33],"control,":[35,40],"national":[36],"ID":[37],"plans,":[38],"outskirt":[39],"and":[41,104,107,110,116,132,150],"so":[42],"forth.":[43],"To":[44],"catch":[45],"this":[46,138],"data":[48],"design":[52],"paying":[53],"little":[54],"mind":[55],"shading,":[59],"conventional":[60],"use":[64],"close":[65],"infrared":[66],"(NIR)":[67],"sensors":[68],"procure":[70],"images":[71],"iris.":[74],"This,":[75],"be":[76],"as":[78],"it":[79,152],"may,":[80],"limits":[81],"image":[84],"procurement":[85],"distance":[86,103,106,124],"under":[88,134],"1m.":[89],"This":[90],"paper":[91],"audits":[92],"a":[93,114,163],"few":[94],"algorithms":[95],"set":[96],"up":[97],"Recognition":[100,127,166],"from":[101],"Short":[102],"Long":[105],"how":[108,151],"imperative":[109,154],"why":[111],"there":[112],"need":[115],"degree":[117],"more":[119,129],"research":[120],"expand":[122],"than":[130],"1m":[131],"furthermore":[133],"uncontrolled":[135],"condition.":[136],"Besides,":[137],"survey":[139],"discusses":[140],"kinds":[143],"attacks":[145,157],"on":[146],"biometric":[148],"counter":[156],"assaults":[159],"effectively":[161],"construct":[162],"strong":[164],"system.":[167]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}