{"id":"https://openalex.org/W2945523526","doi":"https://doi.org/10.1145/3316551.3316558","title":"Vote-based Iris Detection System","display_name":"Vote-based Iris Detection System","publication_year":2019,"publication_date":"2019-02-24","ids":{"openalex":"https://openalex.org/W2945523526","doi":"https://doi.org/10.1145/3316551.3316558","mag":"2945523526"},"language":"en","primary_location":{"id":"doi:10.1145/3316551.3316558","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3316551.3316558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Digital Signal Processing","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/A5018899373","display_name":"Tong-Yuen Chai","orcid":"https://orcid.org/0000-0002-9747-9120"},"institutions":[{"id":"https://openalex.org/I931681460","display_name":"Universiti Tunku Abdul Rahman","ror":"https://ror.org/050pq4m56","country_code":"MY","type":"education","lineage":["https://openalex.org/I931681460"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Tong-Yuen Chai","raw_affiliation_strings":["Universiti Tunku Abdul Rahman, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universiti Tunku Abdul Rahman, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I931681460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059941043","display_name":"Bok\u2010Min Goi","orcid":"https://orcid.org/0000-0002-9854-7121"},"institutions":[{"id":"https://openalex.org/I931681460","display_name":"Universiti Tunku Abdul Rahman","ror":"https://ror.org/050pq4m56","country_code":"MY","type":"education","lineage":["https://openalex.org/I931681460"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Bok-Min Goi","raw_affiliation_strings":["Universiti Tunku Abdul Rahman, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universiti Tunku Abdul Rahman, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I931681460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102834674","display_name":"Yong Haur Tay","orcid":"https://orcid.org/0000-0002-9101-7080"},"institutions":[{"id":"https://openalex.org/I931681460","display_name":"Universiti Tunku Abdul Rahman","ror":"https://ror.org/050pq4m56","country_code":"MY","type":"education","lineage":["https://openalex.org/I931681460"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Yong-Haur Tay","raw_affiliation_strings":["Universiti Tunku Abdul Rahman, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universiti Tunku Abdul Rahman, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I931681460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003259468","display_name":"Yik-Herng Khoo","orcid":null},"institutions":[{"id":"https://openalex.org/I931681460","display_name":"Universiti Tunku Abdul Rahman","ror":"https://ror.org/050pq4m56","country_code":"MY","type":"education","lineage":["https://openalex.org/I931681460"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Yik-Herng Khoo","raw_affiliation_strings":["Universiti Tunku Abdul Rahman, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universiti Tunku Abdul Rahman, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I931681460"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I931681460"],"apc_list":null,"apc_paid":null,"fwci":0.334,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54026417,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"2","issue":null,"first_page":"114","last_page":"118"},"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/T11800","display_name":"User Authentication and Security Systems","score":0.9703999757766724,"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/T10751","display_name":"Forensic and Genetic Research","score":0.9383000135421753,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.836707353591919},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.8273863792419434},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7934058904647827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.73799729347229},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7156580686569214},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6994798183441162},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5841555595397949},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4878826141357422},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46011003851890564},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.4567048251628876},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44329679012298584},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4222028851509094}],"concepts":[{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.836707353591919},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.8273863792419434},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7934058904647827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.73799729347229},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7156580686569214},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6994798183441162},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5841555595397949},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4878826141357422},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46011003851890564},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.4567048251628876},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44329679012298584},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4222028851509094},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3316551.3316558","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3316551.3316558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Digital Signal Processing","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":15,"referenced_works":["https://openalex.org/W1792990615","https://openalex.org/W1972481333","https://openalex.org/W1974821667","https://openalex.org/W1998243017","https://openalex.org/W1998590796","https://openalex.org/W2073351001","https://openalex.org/W2151158914","https://openalex.org/W2401732380","https://openalex.org/W2486066449","https://openalex.org/W2523179526","https://openalex.org/W2543809051","https://openalex.org/W2601530120","https://openalex.org/W4239203327","https://openalex.org/W4285719527","https://openalex.org/W6612742653"],"related_works":["https://openalex.org/W2086178285","https://openalex.org/W2113465366","https://openalex.org/W1581329577","https://openalex.org/W2004816544","https://openalex.org/W2954237708","https://openalex.org/W2145301513","https://openalex.org/W2295388986","https://openalex.org/W2115718877","https://openalex.org/W2067275498","https://openalex.org/W3210460427"],"abstract_inverted_index":{"Finding":[0],"the":[1,22,26,69,82,100,122],"accurate":[2,44],"location":[3,23],"of":[4,21,28,71,84,142],"iris":[5,30,76,96,124],"is":[6,118],"crucial":[7],"to":[8,36,47,67,99,120,128],"some":[9],"applications":[10],"in":[11,86,126],"biometrics,":[12],"human":[13],"computer":[14],"interaction":[15],"and":[16,34,49,111],"medical":[17],"research.":[18],"The":[19,56],"accuracy":[20,141],"will":[24,78,90],"affect":[25],"outcome":[27],"following":[29],"segmentation,":[31],"features":[32],"extraction":[33],"measurement,":[35],"name":[37],"a":[38,115,139],"few.":[39],"This":[40],"paper":[41],"presents":[42],"an":[43],"vote-based":[45],"method":[46],"detect":[48],"localize":[50],"both":[51,130],"irises":[52],"from":[53,102],"color":[54],"images.":[55],"algorithm":[57],"starts":[58],"with":[59],"image":[60],"filtering":[61,66],"steps":[62],"such":[63],"as":[64],"Gaussian":[65],"reduce":[68],"effect":[70],"various":[72],"lighting":[73],"conditions.":[74],"Then,":[75],"candidates":[77],"be":[79,92],"generated":[80],"after":[81],"detection":[83],"reflection":[85],"iris.":[87],"A":[88],"cost":[89],"then":[91],"computed":[93],"for":[94],"each":[95],"candidate":[97],"according":[98],"contribution":[101],"generic":[103],"eye":[104],"template,":[105],"intensity":[106],"variation":[107],"factor,":[108],"circularity":[109],"factor":[110],"reflective":[112],"factor.":[113],"Finally,":[114],"pairing":[116],"process":[117],"used":[119],"determine":[121],"real":[123],"pair":[125],"order":[127],"locate":[129],"irises.":[131],"Our":[132],"experiment":[133],"on":[134],"Michigan":[135],"database":[136],"has":[137],"reported":[138],"promising":[140],"91.21%.":[143]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}