{"id":"https://openalex.org/W1964194361","doi":"https://doi.org/10.1109/btas.2010.5634475","title":"Incremental iris recognition: A single-algorithm serial fusion strategy to optimize time complexity","display_name":"Incremental iris recognition: A single-algorithm serial fusion strategy to optimize time complexity","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W1964194361","doi":"https://doi.org/10.1109/btas.2010.5634475","mag":"1964194361"},"language":"en","primary_location":{"id":"doi:10.1109/btas.2010.5634475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/btas.2010.5634475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS)","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/A5087866084","display_name":"Christian Rathgeb","orcid":"https://orcid.org/0000-0003-1901-9468"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Christian Rathgeb","raw_affiliation_strings":["Multimedia Signal Processing and Security Laboratory (WaveLab), Department of Computer Science Sciences, University of Salzburg, Salzburg, Austria","Multimedia Signal Processing and Security Lab (WaveLab), Department of Computer Science Sciences, University of Salzburg, A-5020 Salzburg, Austria"],"affiliations":[{"raw_affiliation_string":"Multimedia Signal Processing and Security Laboratory (WaveLab), Department of Computer Science Sciences, University of Salzburg, Salzburg, Austria","institution_ids":["https://openalex.org/I182212641"]},{"raw_affiliation_string":"Multimedia Signal Processing and Security Lab (WaveLab), Department of Computer Science Sciences, University of Salzburg, A-5020 Salzburg, Austria","institution_ids":["https://openalex.org/I182212641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062946437","display_name":"Andreas Uhl","orcid":"https://orcid.org/0000-0002-5921-8755"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Andreas Uhl","raw_affiliation_strings":["Multimedia Signal Processing and Security Laboratory (WaveLab), Department of Computer Science Sciences, University of Salzburg, Salzburg, Austria","Multimedia Signal Processing and Security Lab (WaveLab), Department of Computer Science Sciences, University of Salzburg, A-5020 Salzburg, Austria"],"affiliations":[{"raw_affiliation_string":"Multimedia Signal Processing and Security Laboratory (WaveLab), Department of Computer Science Sciences, University of Salzburg, Salzburg, Austria","institution_ids":["https://openalex.org/I182212641"]},{"raw_affiliation_string":"Multimedia Signal Processing and Security Lab (WaveLab), Department of Computer Science Sciences, University of Salzburg, A-5020 Salzburg, Austria","institution_ids":["https://openalex.org/I182212641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049416787","display_name":"Peter Wild","orcid":"https://orcid.org/0000-0002-8824-6827"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Peter Wild","raw_affiliation_strings":["Multimedia Signal Processing and Security Laboratory (WaveLab), Department of Computer Science Sciences, University of Salzburg, Salzburg, Austria","Multimedia Signal Processing and Security Lab (WaveLab), Department of Computer Science Sciences, University of Salzburg, A-5020 Salzburg, Austria"],"affiliations":[{"raw_affiliation_string":"Multimedia Signal Processing and Security Laboratory (WaveLab), Department of Computer Science Sciences, University of Salzburg, Salzburg, Austria","institution_ids":["https://openalex.org/I182212641"]},{"raw_affiliation_string":"Multimedia Signal Processing and Security Lab (WaveLab), Department of Computer Science Sciences, University of Salzburg, A-5020 Salzburg, Austria","institution_ids":["https://openalex.org/I182212641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087866084"],"corresponding_institution_ids":["https://openalex.org/I182212641"],"apc_list":null,"apc_paid":null,"fwci":8.7966,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.98317247,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10057","display_name":"Face and Expression Recognition","score":0.968999981880188,"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/T11797","display_name":"graph theory and CDMA systems","score":0.9470000267028809,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.8472522497177124},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.7997608184814453},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7514966130256653},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6696083545684814},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5981464385986328},{"id":"https://openalex.org/keywords/iris","display_name":"IRIS (biosensor)","score":0.5566349625587463},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5037774443626404},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48395875096321106},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.458278626203537},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43761178851127625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4224299490451813},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4190010130405426},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.29625266790390015},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.19135645031929016},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1596977710723877},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.13536685705184937},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.094032883644104},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.07537305355072021}],"concepts":[{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.8472522497177124},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.7997608184814453},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7514966130256653},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6696083545684814},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5981464385986328},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.5566349625587463},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5037774443626404},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48395875096321106},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.458278626203537},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43761178851127625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4224299490451813},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4190010130405426},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.29625266790390015},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.19135645031929016},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1596977710723877},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.13536685705184937},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.094032883644104},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.07537305355072021},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/btas.2010.5634475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/btas.2010.5634475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.470.4191","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.470.4191","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://wavelab.at/papers/Rathgeb10h.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1585588639","https://openalex.org/W1965509660","https://openalex.org/W2025546194","https://openalex.org/W2054714865","https://openalex.org/W2160239769","https://openalex.org/W2160242612","https://openalex.org/W2161087606","https://openalex.org/W3097096317"],"related_works":["https://openalex.org/W2162640687","https://openalex.org/W2151970936","https://openalex.org/W2557390811","https://openalex.org/W2355560018","https://openalex.org/W2147209541","https://openalex.org/W4231710054","https://openalex.org/W2759939383","https://openalex.org/W3213945064","https://openalex.org/W3133795085","https://openalex.org/W2169064741"],"abstract_inverted_index":{"Daugman's":[0],"algorithm,":[1],"mapping":[2],"iris":[3,25,74],"images":[4],"to":[5,31,60,68,73,97,112,120],"binary":[6],"codes":[7,12],"and":[8,51,117],"estimating":[9],"similarity":[10],"between":[11],"applying":[13],"the":[14,19,34,66,82,100,104],"fractional":[15],"Hamming":[16],"Distance,":[17],"forms":[18],"basis":[20],"of":[21,37,45,54,79,85,91,128],"today's":[22],"commercially":[23],"used":[24],"recognition":[26],"systems.":[27],"However,":[28],"when":[29],"applied":[30,111],"large-scale":[32],"databases,":[33],"linear":[35],"matching":[36,95],"a":[38,43,52,133],"single":[39],"extracted":[40],"iris-code":[41,87,114,129],"against":[42],"gallery":[44],"templates":[46],"is":[47,65,118],"very":[48],"time":[49],"consuming":[50],"bottleneck":[53],"current":[55],"implementations.":[56],"As":[57],"an":[58,70,86],"alternative":[59],"pre-screening":[61],"techniques,":[62],"our":[63],"work":[64],"first":[67,83],"present":[69],"incremental":[71],"approach":[72,107],"recognition.":[75],"We":[76],"combine":[77],"concentration":[78],"information":[80],"in":[81,103],"bits":[84],"with":[88],"early":[89],"rejection":[90],"unlikely":[92],"matches":[93,144],"during":[94],"stage":[96],"incrementally":[98],"determine":[99],"best-matching":[101],"candidate":[102],"gallery.":[105],"Our":[106],"can":[108],"transparently":[109],"be":[110],"any":[113],"based":[115],"system":[116],"able":[119],"reduce":[121],"bit":[122],"comparisons":[123],"significantly":[124],"(to":[125],"about":[126],"5%":[127],"bits)":[130],"while":[131],"exhibiting":[132],"Rank-1":[134],"Recognition":[135],"Rate":[136],"being":[137],"at":[138],"least":[139],"as":[140,142],"high":[141],"for":[143],"involving":[145],"all":[146],"bits.":[147]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":20}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
