{"id":"https://openalex.org/W1538140926","doi":"https://doi.org/10.1007/3-540-45656-2_16","title":"Improved Techniques for an Iris Recognition System with High Performance","display_name":"Improved Techniques for an Iris Recognition System with High Performance","publication_year":2001,"publication_date":"2001-01-01","ids":{"openalex":"https://openalex.org/W1538140926","doi":"https://doi.org/10.1007/3-540-45656-2_16","mag":"1538140926"},"language":"en","primary_location":{"id":"doi:10.1007/3-540-45656-2_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-45656-2_16","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5007489874","display_name":"Gyundo Kee","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":"Gyundo Kee","raw_affiliation_strings":["Dept. of Computer Science, Yonsei University, Seoul, Korea","Yonsei university"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Yonsei University, Seoul, Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Yonsei university","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110809957","display_name":"Yung-Cheol Byun","orcid":"https://orcid.org/0000-0003-1107-9941"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yungcheol Byun","raw_affiliation_strings":["Dept. of Computer Software Research Laboratory, ETRI, Daejeon, Korea","[ETRI]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Software Research Laboratory, ETRI, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"[ETRI]","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068389798","display_name":"Kwanyong Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107159","display_name":"Korea Soongsil Cyber \u200b\u200bUniversity","ror":"https://ror.org/01jwwa840","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210107159"]},{"id":"https://openalex.org/I4210149944","display_name":"Korea Telecom (South Korea)","ror":null,"country_code":"KR","type":null,"lineage":["https://openalex.org/I4210149944"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwanyong Lee","raw_affiliation_strings":["Dept. of Information and Telecommunication, Korea Cyber University, Seoul, Korea","Korea Cyber University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Information and Telecommunication, Korea Cyber University, Seoul, Korea","institution_ids":["https://openalex.org/I4210149944"]},{"raw_affiliation_string":"Korea Cyber University","institution_ids":["https://openalex.org/I4210107159"]}]},{"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":["Dept. of Computer Science, Yonsei University, Seoul, Korea","Yonsei university"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Yonsei University, Seoul, Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Yonsei university","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"177","last_page":"188"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.906000018119812,"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/computer-science","display_name":"Computer science","score":0.844355583190918},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.8396055698394775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7451963424682617},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.740624725818634},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.7346504330635071},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6844913959503174},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5408033132553101},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5324965715408325},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.49480289220809937},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.46548643708229065},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45741671323776245},{"id":"https://openalex.org/keywords/pupil","display_name":"Pupil","score":0.44708165526390076},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44529208540916443},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.43680527806282043},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4161432981491089},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4100547730922699},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.33971038460731506},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08009389042854309}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.844355583190918},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.8396055698394775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7451963424682617},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.740624725818634},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.7346504330635071},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6844913959503174},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5408033132553101},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5324965715408325},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.49480289220809937},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.46548643708229065},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45741671323776245},{"id":"https://openalex.org/C2777394604","wikidata":"https://www.wikidata.org/wiki/Q173318","display_name":"Pupil","level":2,"score":0.44708165526390076},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44529208540916443},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.43680527806282043},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4161432981491089},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4100547730922699},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.33971038460731506},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08009389042854309},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/3-540-45656-2_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-45656-2_16","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2090067210","https://openalex.org/W2098914003","https://openalex.org/W2101914198","https://openalex.org/W2102796633","https://openalex.org/W2114212719","https://openalex.org/W2128848833","https://openalex.org/W2132984323","https://openalex.org/W2163952039","https://openalex.org/W2171759622"],"related_works":["https://openalex.org/W2162640687","https://openalex.org/W2018223046","https://openalex.org/W3034835805","https://openalex.org/W2151970936","https://openalex.org/W2759939383","https://openalex.org/W2294693339","https://openalex.org/W2557390811","https://openalex.org/W2355560018","https://openalex.org/W2147209541","https://openalex.org/W3133795085"],"abstract_inverted_index":null,"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
