{"id":"https://openalex.org/W2902452250","doi":"https://doi.org/10.1109/icpr.2018.8545121","title":"Cancelable Biometrics Using Noise Embedding","display_name":"Cancelable Biometrics Using Noise Embedding","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2902452250","doi":"https://doi.org/10.1109/icpr.2018.8545121","mag":"2902452250"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","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/A5007872160","display_name":"Dae-Hyun Lee","orcid":"https://orcid.org/0000-0001-9544-5974"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]},{"id":"https://openalex.org/I4210164379","display_name":"Seoul Media Institute of Technology","ror":"https://ror.org/04ywg4h07","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210164379"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Dae-Hyun Lee","raw_affiliation_strings":["Institute of New Media and Communications (INMC), Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Institute of New Media and Communications (INMC), Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I4210164379","https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100651319","display_name":"Sang Hwa Lee","orcid":"https://orcid.org/0000-0002-4959-5194"},"institutions":[{"id":"https://openalex.org/I4210164379","display_name":"Seoul Media Institute of Technology","ror":"https://ror.org/04ywg4h07","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210164379"]},{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang Hwa Lee","raw_affiliation_strings":["Institute of New Media and Communications (INMC), Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Institute of New Media and Communications (INMC), Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I4210164379","https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055171648","display_name":"Nam Ik Cho","orcid":"https://orcid.org/0000-0001-5297-4649"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]},{"id":"https://openalex.org/I4210164379","display_name":"Seoul Media Institute of Technology","ror":"https://ror.org/04ywg4h07","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210164379"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Nam Ik Cho","raw_affiliation_strings":["Institute of New Media and Communications (INMC), Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Institute of New Media and Communications (INMC), Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I4210164379","https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007872160"],"corresponding_institution_ids":["https://openalex.org/I139264467","https://openalex.org/I4210164379"],"apc_list":null,"apc_paid":null,"fwci":1.4925,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.84162602,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3390","last_page":"3395"},"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/T11800","display_name":"User Authentication and Security Systems","score":0.9973000288009644,"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/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6658225655555725},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6588147878646851},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5510948300361633},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.550084114074707},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5468395352363586},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5223658680915833},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.49699094891548157},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.45346298813819885},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.4494584798812866},{"id":"https://openalex.org/keywords/binary-data","display_name":"Binary data","score":0.4103371798992157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3837001621723175},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3835980296134949},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38144007325172424},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24197396636009216},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15084996819496155},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.11899837851524353},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08826574683189392}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6658225655555725},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6588147878646851},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5510948300361633},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.550084114074707},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5468395352363586},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5223658680915833},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.49699094891548157},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.45346298813819885},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.4494584798812866},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.4103371798992157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3837001621723175},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3835980296134949},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38144007325172424},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24197396636009216},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15084996819496155},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.11899837851524353},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08826574683189392},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2018.8545121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:s-space.snu.ac.kr:10371/186886","is_oa":false,"landing_page_url":"https://hdl.handle.net/10371/186886","pdf_url":null,"source":{"id":"https://openalex.org/S4306401345","display_name":"Seoul National University Open Repository (Seoul National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139264467","host_organization_name":"Seoul National University","host_organization_lineage":["https://openalex.org/I139264467"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W178227285","https://openalex.org/W1490122681","https://openalex.org/W1574470928","https://openalex.org/W1998161813","https://openalex.org/W2041942569","https://openalex.org/W2099278510","https://openalex.org/W2110401929","https://openalex.org/W2120452215","https://openalex.org/W2125587922","https://openalex.org/W2126960670","https://openalex.org/W2129905915","https://openalex.org/W2133295669","https://openalex.org/W2160687222","https://openalex.org/W2171431911","https://openalex.org/W2190381199","https://openalex.org/W2461999971","https://openalex.org/W2552409694","https://openalex.org/W4230579564","https://openalex.org/W6683436568","https://openalex.org/W6687149204"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2379932303","https://openalex.org/W2095239294","https://openalex.org/W3147744369","https://openalex.org/W4241440711","https://openalex.org/W2062586268","https://openalex.org/W2019582947","https://openalex.org/W4200422973","https://openalex.org/W4233349824"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,67,96,103],"cancelable":[4],"biometric":[5,56,127],"(CB)":[6],"scheme":[7],"for":[8,41,110,134,146],"iris":[9],"recognition":[10,43],"system.":[11],"The":[12,33,62,90],"CB":[13,92],"approaches":[14],"are":[15],"roughly":[16],"classified":[17],"into":[18],"two":[19],"categories":[20],"depending":[21],"on":[22,28,31,170],"whether":[23],"the":[24,42,46,50,54,59,80,84,88,107,116,126,131,136,163,171,176,184,188,195],"method":[25,69,124],"stresses":[26],"more":[27],"non-invertibility":[29,137],"or":[30],"discriminability.":[32],"former":[34],"is":[35,64,167],"to":[36,65,106,191,194],"use":[37,66,115,130],"non-invertibly":[38],"transformed":[39],"data":[40,86,109,189],"instead":[44],"of":[45,98,138],"original,":[47],"so":[48,78],"that":[49,70,79,161],"impostors":[51],"cannot":[52,82],"retrieve":[53,83],"original":[55,85],"information":[57],"from":[58],"stolen":[60],"data.":[61,140],"latter":[63],"salting":[68,122,162],"mixes":[71],"random":[72,118],"signals":[73],"generated":[74],"by":[75],"user-specific":[76],"keys":[77],"imposters":[81],"without":[87],"key.":[89],"proposed":[91],"can":[93],"be":[94,192],"considered":[95],"combination":[97],"these":[99,157],"methods,":[100],"which":[101],"applies":[102],"non-invertible":[104],"transform":[105],"salted":[108,139],"binary":[111,121],"biocode":[112],"input.":[113],"We":[114,159],"reduced":[117],"permutation":[119],"and":[120,129,149,152],"(RRP-BS)":[123],"as":[125],"salting,":[128],"Hadamard":[132],"product":[133],"enhancing":[135],"Moreover,":[141],"we":[142],"generate":[143],"several":[144],"templates":[145],"an":[147],"input,":[148],"define":[150],"non-coherent":[151,164],"coherent":[153],"matching":[154,165],"regions":[155,166],"among":[156],"templates.":[158],"show":[160],"less":[168],"influential":[169],"overall":[172],"performance.":[173],"Specifically,":[174],"embedding":[175],"noise":[177],"in":[178],"this":[179],"region":[180],"does":[181],"not":[182],"affect":[183],"performance,":[185],"while":[186],"making":[187],"difficult":[190],"inverted":[193],"original.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}