{"id":"https://openalex.org/W2169573556","doi":"https://doi.org/10.1109/icip.2004.1421857","title":"Optimal thresholding for key generation based on biometrics","display_name":"Optimal thresholding for key generation based on biometrics","publication_year":2005,"publication_date":"2005-04-19","ids":{"openalex":"https://openalex.org/W2169573556","doi":"https://doi.org/10.1109/icip.2004.1421857","mag":"2169573556"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2004.1421857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2004.1421857","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 International Conference on Image Processing, 2004. ICIP '04.","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/A5100296464","display_name":"Mende Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mende Zhang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103045377","display_name":"Yao\u2010Jen Chang","orcid":"https://orcid.org/0000-0001-6822-6688"},"institutions":[{"id":"https://openalex.org/I4210148468","display_name":"Industrial Technology Research Institute","ror":"https://ror.org/05szzwt63","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I4210148468"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yao-Jen Chang","raw_affiliation_strings":["Industrial Technology Research Institute, Chutung, Hsinchu, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Industrial Technology Research Institute, Chutung, Hsinchu, Taiwan, R.O.C","institution_ids":["https://openalex.org/I4210148468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000454484","display_name":"Tsuhan Chen","orcid":"https://orcid.org/0000-0003-3951-7931"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tsuhun Chen","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100296464"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.4513,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.95220418,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"5","issue":null,"first_page":"3451","last_page":"3454"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9919000267982483,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9675999879837036,"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/biometrics","display_name":"Biometrics","score":0.8760905265808105},{"id":"https://openalex.org/keywords/key-generation","display_name":"Key generation","score":0.8307802677154541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7929056882858276},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.7880614995956421},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.7558552622795105},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.5461990237236023},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5181897282600403},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4586160182952881},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.447723925113678},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3933681845664978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3676307201385498},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2204432189464569},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.180354505777359},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1646362841129303}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8760905265808105},{"id":"https://openalex.org/C163173736","wikidata":"https://www.wikidata.org/wiki/Q3308558","display_name":"Key generation","level":3,"score":0.8307802677154541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7929056882858276},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.7880614995956421},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.7558552622795105},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.5461990237236023},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5181897282600403},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4586160182952881},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.447723925113678},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3933681845664978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3676307201385498},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2204432189464569},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.180354505777359},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1646362841129303},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2004.1421857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2004.1421857","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 International Conference on Image Processing, 2004. ICIP '04.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2117252790","https://openalex.org/W2131183039","https://openalex.org/W2142896541","https://openalex.org/W2146824864","https://openalex.org/W2152486668","https://openalex.org/W2156309524","https://openalex.org/W2500846359","https://openalex.org/W4292023222","https://openalex.org/W6678068773"],"related_works":["https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2116854923","https://openalex.org/W2750730210","https://openalex.org/W2211301776","https://openalex.org/W1995418324","https://openalex.org/W3104966193","https://openalex.org/W2275475525","https://openalex.org/W2060905804","https://openalex.org/W1485853333"],"abstract_inverted_index":{"In":[0,52],"this":[1],"paper,":[2],"we":[3,41],"introduce":[4],"a":[5,17,33,56],"novel":[6],"method":[7,62],"for":[8,49],"key":[9,94],"generation":[10,95],"based":[11],"on":[12],"biometrics.":[13],"Given":[14],"the":[15,38,67,74,80,90],"biometrics,":[16],"set":[18],"of":[19,73,93],"reliable":[20,57],"features":[21],"are":[22],"extracted.":[23],"Each":[24],"feature":[25],"is":[26,63,96],"compared":[27],"with":[28],"multiple":[29],"thresholds":[30],"to":[31,54,65],"generate":[32,55],"multi-bit":[34,39],"key.":[35],"By":[36],"cascading":[37],"keys,":[40],"obtain":[42],"one":[43],"biokey":[44],"that":[45,89],"can":[46],"be":[47],"used":[48],"security":[50],"applications.":[51],"order":[53],"bio-key,":[58],"an":[59],"optimal":[60],"thresholding":[61],"proposed":[64,91],"minimize":[66],"authentication":[68],"error":[69],"rate,":[70],"in":[71],"terms":[72],"false":[75,81],"accept":[76],"rate":[77,83],"(FAR)":[78],"and":[79,98],"reject":[82],"(FRR).":[84],"The":[85],"experimental":[86],"results":[87],"show":[88],"approach":[92],"user-friendly":[97],"reliable.":[99]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2012,"cited_by_count":17}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}