{"id":"https://openalex.org/W4252870906","doi":"https://doi.org/10.1109/icpr.2004.1333907","title":"Iris recognition using collarette boundary localization","display_name":"Iris recognition using collarette boundary localization","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4252870906","doi":"https://doi.org/10.1109/icpr.2004.1333907"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1333907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1333907","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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/A5020355503","display_name":"Hanho Sung","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hanho Sung","raw_affiliation_strings":["Division of Computer and Information Engineering, Yonsei University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Division of Computer and Information Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034528772","display_name":"Jaekyung Lim","orcid":"https://orcid.org/0009-0002-5964-6124"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaekyung Lim","raw_affiliation_strings":["Division of Computer and Information Engineering, Yonsei University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Division of Computer and Information Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338428","display_name":"Ji-Hyun Park","orcid":"https://orcid.org/0009-0009-2887-159X"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ji-hyun Park","raw_affiliation_strings":["Division of Computer and Information Engineering, Yonsei University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Division of Computer and Information Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075241973","display_name":"Yillbyung Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yillbyung Lee","raw_affiliation_strings":["Division of Computer and Information Engineering, Yonsei University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Division of Computer and Information Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020355503"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":3.716,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.9540412,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"857","last_page":"860 Vol.4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9995999932289124,"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":0.9995999932289124,"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/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9699000120162964,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9592999815940857,"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":0.811459481716156},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7246343493461609},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.70449298620224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6986190676689148},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6652514934539795},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5995416641235352},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5870519280433655},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5672863721847534},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5472575426101685},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5457616448402405},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.5287556052207947},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.5101854801177979},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3712415099143982},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21331524848937988}],"concepts":[{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.811459481716156},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7246343493461609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.70449298620224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6986190676689148},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6652514934539795},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5995416641235352},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5870519280433655},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5672863721847534},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5472575426101685},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5457616448402405},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.5287556052207947},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.5101854801177979},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3712415099143982},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21331524848937988},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2004.1333907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1333907","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W24401495","https://openalex.org/W1966313272","https://openalex.org/W2098914003","https://openalex.org/W2102796633","https://openalex.org/W2114252863","https://openalex.org/W2115689562","https://openalex.org/W2132549764","https://openalex.org/W2148593155","https://openalex.org/W2148603752","https://openalex.org/W4256068510"],"related_works":["https://openalex.org/W2162640687","https://openalex.org/W2018223046","https://openalex.org/W2759939383","https://openalex.org/W2294693339","https://openalex.org/W2952386695","https://openalex.org/W2355560018","https://openalex.org/W2147209541","https://openalex.org/W4231710054","https://openalex.org/W2557390811","https://openalex.org/W3133795085"],"abstract_inverted_index":{"There":[0],"has":[1,21],"been":[2],"a":[3,82],"rapid":[4],"increase":[5,70],"in":[6,16],"the":[7,49,53,57,61,71,76,94,105,112,117,121,134,152,156,163,168],"need":[8],"of":[9,33,131],"accurate":[10],"and":[11,19,40,60,68,81,120,133,147,166],"reliable":[12],"personal":[13],"identification":[14,41],"infrastructure":[15],"recent":[17],"years,":[18],"biometrics":[20],"become":[22],"an":[23,88],"important":[24],"technology":[25],"for":[26,51],"security.":[27],"The":[28,96,124,139],"iris":[29,54,113,125,153],"recognition":[30,72,135,140,169],"system":[31],"consists":[32],"four-process:":[34],"image":[35],"acquisition,":[36],"preprocessing,":[37],"feature":[38],"extraction":[39],"or":[42],"verification.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47],"propose":[48],"methods":[50,158,165],"localizing":[52],"area":[55],"between":[56,116],"inner":[58,118],"boundary":[59,98,119],"collarette":[62,77,97,122],"boundary,":[63,78],"to":[64,69,93],"remove":[65],"unnecessary":[66],"areas":[67],"rate.":[73,170],"For":[74],"finding":[75],"histogram":[79],"equalization":[80],"high":[83],"pass":[84],"filter,":[85],"after":[86],"using":[87,101,145],"one-dimensional":[89],"DFT,":[90],"are":[91],"applied":[92],"image.":[95],"is":[99,114,126],"found":[100],"statistical":[102],"information":[103,161],"from":[104],"image,":[106],"which":[107],"removes":[108],"low-frequencies,":[109],"and,":[110],"finally,":[111],"localized":[115,127],"boundary.":[123],"by":[128,144,155],"two":[129],"kinds":[130],"methods,":[132],"rates":[136],"were":[137],"compared.":[138],"rate":[141],"was":[142],"evaluated":[143],"DWT":[146],"SVM.":[148],"These":[149],"show":[150],"that":[151],"localization":[154],"proposed":[157],"contains":[159],"more":[160],"than":[162],"previous":[164],"improves":[167]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}