{"id":"https://openalex.org/W2159728498","doi":"https://doi.org/10.1109/fuzzy.2010.5584184","title":"A fast Iris location based on aggregating gradient approximation using QMA-OWA operator","display_name":"A fast Iris location based on aggregating gradient approximation using QMA-OWA operator","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2159728498","doi":"https://doi.org/10.1109/fuzzy.2010.5584184","mag":"2159728498"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2010.5584184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Fuzzy Systems","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/A5033307073","display_name":"Yuniol Alvarez-Betancourt","orcid":"https://orcid.org/0000-0002-1393-1942"},"institutions":[{"id":"https://openalex.org/I160253776","display_name":"University of Cienfuegos","ror":"https://ror.org/05m031e17","country_code":"CU","type":"education","lineage":["https://openalex.org/I160253776"]}],"countries":["CU"],"is_corresponding":true,"raw_author_name":"Yuniol Alvarez-Betancourt","raw_affiliation_strings":["Department of Computer Sciences, University of Cienfuegos, Cuba"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, University of Cienfuegos, Cuba","institution_ids":["https://openalex.org/I160253776"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038228037","display_name":"Miguel Garc\u00eda-Silvente","orcid":"https://orcid.org/0000-0002-5467-6159"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Miguel Garcia-Silvente","raw_affiliation_strings":["Department of Computer Sciences, Artificial Intelligence (DECSAI), University of Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, Artificial Intelligence (DECSAI), University of Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033307073"],"corresponding_institution_ids":["https://openalex.org/I160253776"],"apc_list":null,"apc_paid":null,"fwci":0.6743,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.7165921,"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":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/T10057","display_name":"Face and Expression Recognition","score":0.9851999878883362,"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"}},{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9768999814987183,"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":0.7218318581581116},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.7205126881599426},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.6490595936775208},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5319514274597168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5319312810897827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5203392505645752},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.5168871879577637},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5035294890403748},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5025894641876221},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4591081142425537},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44903185963630676},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44170641899108887},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42468714714050293},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09241753816604614}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7218318581581116},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.7205126881599426},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.6490595936775208},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5319514274597168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5319312810897827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5203392505645752},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.5168871879577637},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5035294890403748},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5025894641876221},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4591081142425537},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44903185963630676},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44170641899108887},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42468714714050293},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09241753816604614},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2010.5584184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Fuzzy Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323814","display_name":"Asociaci\u00f3n Universitaria Iberoamericana de Postgrado","ror":"https://ror.org/00rzr9371"},{"id":"https://openalex.org/F4320326873","display_name":"National Laboratory of Pattern Recognition","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W25409241","https://openalex.org/W147723833","https://openalex.org/W1543762609","https://openalex.org/W1974821667","https://openalex.org/W1977657217","https://openalex.org/W2001077877","https://openalex.org/W2008338741","https://openalex.org/W2036172264","https://openalex.org/W2040633710","https://openalex.org/W2045371359","https://openalex.org/W2086383433","https://openalex.org/W2092988036","https://openalex.org/W2098645344","https://openalex.org/W2100603595","https://openalex.org/W2106196001","https://openalex.org/W2109814665","https://openalex.org/W2114212719","https://openalex.org/W2114415923","https://openalex.org/W2116824493","https://openalex.org/W2118615812","https://openalex.org/W2133059825","https://openalex.org/W2134996013","https://openalex.org/W2137310573","https://openalex.org/W2142358292","https://openalex.org/W2143651794","https://openalex.org/W2157406231","https://openalex.org/W2163155631","https://openalex.org/W2167075312","https://openalex.org/W2171759622","https://openalex.org/W2215251428","https://openalex.org/W3023411394","https://openalex.org/W4233461051","https://openalex.org/W4252870906","https://openalex.org/W6601027016","https://openalex.org/W6659611109"],"related_works":["https://openalex.org/W2162640687","https://openalex.org/W2018223046","https://openalex.org/W2151970936","https://openalex.org/W2294693339","https://openalex.org/W2573408845","https://openalex.org/W1971649232","https://openalex.org/W2557390811","https://openalex.org/W2355560018","https://openalex.org/W2147209541","https://openalex.org/W4231710054"],"abstract_inverted_index":{"A":[0],"very":[1,35],"robust":[2],"biometric":[3],"for":[4,87],"the":[5,16,18,55,94,107,110,131,140],"identification":[6,92,119],"of":[7,20,57,63,68,70,93,118,120],"humans":[8],"is":[9,24,46,123],"Iris":[10,17,42,95],"Recognition.":[11],"In":[12],"order":[13,81],"to":[14,82],"recognize":[15],"determination":[19],"its":[21],"exact":[22],"location":[23],"required.":[25],"The":[26,51,73,91,135],"contemporary":[27],"localization":[28],"approaches,":[29],"although":[30],"accurate,":[31],"often":[32],"require":[33],"a":[34,84,115],"long":[36],"calculation.":[37],"This":[38],"paper":[39],"presents":[40],"an":[41,61,99,126],"Location":[43],"method":[44],"that":[45],"both":[47],"accurate":[48],"and":[49],"fast.":[50],"approach":[52,62],"relies":[53],"on":[54],"detection":[56],"circular":[58,96,121],"boundaries":[59,122],"under":[60],"gradient":[64],"analysis":[65],"in":[66,80,98],"points":[67],"interest":[69],"successive":[71,89],"arcs.":[72],"quantified":[74],"majority":[75],"operator":[76],"QMA-OWA":[77],"was":[78,137],"used":[79],"obtain":[83],"representative":[85,112],"value":[86],"each":[88],"arc.":[90],"boundary":[97],"image":[100,141],"portion":[101],"will":[102],"be":[103],"given":[104],"by":[105,130],"obtaining":[106],"arc":[108],"with":[109],"greatest":[111],"value.":[113],"Thus,":[114],"fast":[116],"algorithm":[117],"obtained":[124],"from":[125],"aggregation":[127],"process,":[128],"guided":[129],"linguistic":[132],"quantifier":[133],"many.":[134],"experimentation":[136],"developed":[138],"upon":[139],"database":[142],"CASIA-IrisV3.":[143]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}