{"id":"https://openalex.org/W2154794921","doi":"https://doi.org/10.1109/icdsp.2011.6004932","title":"A face image hashing method based on optimal linear transform under colored Gaussian noise assumption","display_name":"A face image hashing method based on optimal linear transform under colored Gaussian noise assumption","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2154794921","doi":"https://doi.org/10.1109/icdsp.2011.6004932","mag":"2154794921"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2011.6004932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2011.6004932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 17th International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"},"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/A5018688567","display_name":"\u00c7a\u011fatay Karabat","orcid":"https://orcid.org/0000-0002-5414-3459"},"institutions":[{"id":"https://openalex.org/I4210141511","display_name":"TUBITAK BILGEM","ror":"https://ror.org/057kvja37","country_code":"TR","type":"government","lineage":["https://openalex.org/I4210141511"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Cagatay Karabat","raw_affiliation_strings":["Tubitak Bilgem (TUBITAK Centre of Research for Advanced Technologies of Informatics and Information Security), Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tubitak Bilgem (TUBITAK Centre of Research for Advanced Technologies of Informatics and Information Security), Turkey","institution_ids":["https://openalex.org/I4210141511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065994318","display_name":"Hakan Erdo\u011fan","orcid":"https://orcid.org/0000-0003-3140-8642"},"institutions":[{"id":"https://openalex.org/I134235054","display_name":"Sabanc\u0131 \u00dcniversitesi","ror":"https://ror.org/049asqa32","country_code":"TR","type":"education","lineage":["https://openalex.org/I134235054"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Hakan Erdogan","raw_affiliation_strings":["Sabanci University, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sabanci University, Turkey","institution_ids":["https://openalex.org/I134235054"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112447409","display_name":"M. K\u0131van\u00e7 M\u0131h\u00e7ak","orcid":null},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mehmet Kivanc Mihcak","raw_affiliation_strings":["Bogazici University, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bogazici University, Turkey","institution_ids":["https://openalex.org/I4405392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5561,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64166783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"11","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":0.9993000030517578,"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":0.9993000030517578,"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":0.9987000226974487,"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/T11448","display_name":"Face recognition and analysis","score":0.9973999857902527,"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":0.6662843227386475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5045634508132935},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5042091608047485},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4835931658744812},{"id":"https://openalex.org/keywords/transformation-matrix","display_name":"Transformation matrix","score":0.47578370571136475},{"id":"https://openalex.org/keywords/random-projection","display_name":"Random projection","score":0.4605826735496521},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.45786669850349426},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.4572858214378357},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.43272414803504944},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4324760138988495},{"id":"https://openalex.org/keywords/linear-map","display_name":"Linear map","score":0.42870283126831055},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4143137037754059},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.41280683875083923},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37798094749450684},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.26726454496383667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26455873250961304},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.14363524317741394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6662843227386475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5045634508132935},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5042091608047485},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4835931658744812},{"id":"https://openalex.org/C165443888","wikidata":"https://www.wikidata.org/wiki/Q1482183","display_name":"Transformation matrix","level":3,"score":0.47578370571136475},{"id":"https://openalex.org/C2777036070","wikidata":"https://www.wikidata.org/wiki/Q18393452","display_name":"Random projection","level":2,"score":0.4605826735496521},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.45786669850349426},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.4572858214378357},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.43272414803504944},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4324760138988495},{"id":"https://openalex.org/C49766605","wikidata":"https://www.wikidata.org/wiki/Q207643","display_name":"Linear map","level":2,"score":0.42870283126831055},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4143137037754059},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.41280683875083923},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37798094749450684},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.26726454496383667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26455873250961304},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.14363524317741394},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdsp.2011.6004932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2011.6004932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 17th International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:research.sabanciuniv.edu:18523","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402254","display_name":"Sabanci University","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I134235054","host_organization_name":"Sabanc\u0131 \u00dcniversitesi","host_organization_lineage":["https://openalex.org/I134235054"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1633840029","https://openalex.org/W1781921453","https://openalex.org/W1976572447","https://openalex.org/W2048387976","https://openalex.org/W2098693229","https://openalex.org/W2114034969","https://openalex.org/W2114408231","https://openalex.org/W2121023683","https://openalex.org/W2132984323","https://openalex.org/W2135096843","https://openalex.org/W2489822048","https://openalex.org/W6637888935"],"related_works":["https://openalex.org/W2112938363","https://openalex.org/W4399588630","https://openalex.org/W2396209768","https://openalex.org/W3021551309","https://openalex.org/W3182134048","https://openalex.org/W4313165766","https://openalex.org/W3161907465","https://openalex.org/W4239093923","https://openalex.org/W2791356554","https://openalex.org/W2113663012"],"abstract_inverted_index":{"In":[0,17],"this":[1,70],"paper,":[2],"we":[3,22,29,60,73],"propose":[4],"a":[5,24,78],"novel":[6],"face":[7,79,95],"image":[8,80],"hashing":[9,107],"method":[10,90,140],"based":[11,36,105],"on":[12,37],"an":[13,31],"optimal":[14,32],"linear":[15,33],"transformation.":[16],"the":[18,43,48,51,56,62,65,85,88,99,102,111,131,138,146],"proposed":[19,89,139],"method,":[20],"first,":[21],"apply":[23,74],"feature":[25,66],"extraction":[26],"method.":[27],"Then,":[28],"define":[30],"transformation":[34],"matrix":[35,40],"within-class":[38],"covariance":[39],"which":[41],"is":[42,122],"maximum":[44],"likelihood":[45],"estimate":[46],"of":[47,50,64,87],"variations":[49],"biometric":[52,106],"data":[53],"belonging":[54],"to":[55],"same":[57],"user.":[58],"Next,":[59],"reduce":[61],"dimension":[63],"vector":[67],"by":[68,113,125],"using":[69],"transform.":[71],"Finally,":[72],"quantization":[75],"and":[76,93,97],"obtain":[77],"hash":[81],"vector.":[82],"We":[83,109],"test":[84],"performance":[86,143],"with":[91,101],"AT&T":[92],"M2VTS":[94],"databases":[96],"compare":[98],"results":[100,136],"random":[103],"projection":[104],"methods.":[108],"perform":[110],"simulations":[112],"taking":[114],"into":[115],"account":[116],"two":[117],"scenarios:":[118],"1)":[119],"Secret":[120],"key":[121,148],"not":[123],"known":[124],"attacker,":[126],"2)":[127],"Attacker":[128],"illegally":[129],"acquires":[130],"secret":[132,147],"key.":[133],"The":[134],"simulation":[135],"show":[137],"has":[141,149],"better":[142],"especially":[144],"when":[145],"been":[150],"compromised.":[151]},"counts_by_year":[{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}