{"id":"https://openalex.org/W2102932036","doi":"https://doi.org/10.1109/wifs.2009.5386482","title":"Accuracy improvement with high convenience in biometric identification using multihypothesis sequential probability ratio test","display_name":"Accuracy improvement with high convenience in biometric identification using multihypothesis sequential probability ratio test","publication_year":2009,"publication_date":"2009-12-01","ids":{"openalex":"https://openalex.org/W2102932036","doi":"https://doi.org/10.1109/wifs.2009.5386482","mag":"2102932036"},"language":"en","primary_location":{"id":"doi:10.1109/wifs.2009.5386482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs.2009.5386482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 First IEEE International Workshop on Information Forensics and Security (WIFS)","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/A5085794030","display_name":"Takao Murakami","orcid":"https://orcid.org/0000-0002-5110-1261"},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takao Murakami","raw_affiliation_strings":["Systems Development Laboratory, Hitachi and Limited, Yokohama, Japan","Hitachi, Ltd., Systems Development Laboratory, Yokohama 244-0817, Japan"],"affiliations":[{"raw_affiliation_string":"Systems Development Laboratory, Hitachi and Limited, Yokohama, Japan","institution_ids":["https://openalex.org/I65143321"]},{"raw_affiliation_string":"Hitachi, Ltd., Systems Development Laboratory, Yokohama 244-0817, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103459919","display_name":"Kenta Takahashi","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenta Takahashi","raw_affiliation_strings":["Systems Development Laboratory, Hitachi and Limited, Yokohama, Japan","Hitachi, Ltd., Systems Development Laboratory, Yokohama 244-0817, Japan"],"affiliations":[{"raw_affiliation_string":"Systems Development Laboratory, Hitachi and Limited, Yokohama, Japan","institution_ids":["https://openalex.org/I65143321"]},{"raw_affiliation_string":"Hitachi, Ltd., Systems Development Laboratory, Yokohama 244-0817, Japan","institution_ids":["https://openalex.org/I65143321"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085794030"],"corresponding_institution_ids":["https://openalex.org/I65143321"],"apc_list":null,"apc_paid":null,"fwci":0.7049,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.68454878,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"66","last_page":"70"},"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":0.9983999729156494,"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/T10057","display_name":"Face and Expression Recognition","score":0.9652000069618225,"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":0.9333455562591553},{"id":"https://openalex.org/keywords/nist","display_name":"NIST","score":0.7843962907791138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7714498043060303},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6976646184921265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5216077566146851},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5175241827964783},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46654701232910156},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.2588123381137848}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.9333455562591553},{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.7843962907791138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7714498043060303},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6976646184921265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5216077566146851},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5175241827964783},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46654701232910156},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2588123381137848},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wifs.2009.5386482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs.2009.5386482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 First IEEE International Workshop on Information Forensics and Security (WIFS)","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":13,"referenced_works":["https://openalex.org/W1533303231","https://openalex.org/W1542290855","https://openalex.org/W1545672070","https://openalex.org/W2025860746","https://openalex.org/W2068723942","https://openalex.org/W2140959843","https://openalex.org/W2144483026","https://openalex.org/W2148680321","https://openalex.org/W2151370270","https://openalex.org/W4205948809","https://openalex.org/W4285719527","https://openalex.org/W6631923913","https://openalex.org/W6632794513"],"related_works":["https://openalex.org/W2106922437","https://openalex.org/W2158491338","https://openalex.org/W2133733652","https://openalex.org/W2606392311","https://openalex.org/W4385956668","https://openalex.org/W2900895161","https://openalex.org/W4238290540","https://openalex.org/W2353749315","https://openalex.org/W1989935232","https://openalex.org/W2394308601"],"abstract_inverted_index":{"Biometric":[0],"identification":[1,23,45],"has":[2],"lately":[3],"attracted":[4],"attention":[5],"because":[6],"of":[7,30,77,90,94],"its":[8,110],"high":[9],"convenience;":[10],"it":[11,47],"does":[12],"not":[13],"require":[14],"a":[15,19,67,81],"user":[16,20,50],"to":[17,42,51],"enter":[18],"ID.":[21],"The":[22,92],"accuracy,":[24,46],"however,":[25],"degrades":[26],"as":[27],"the":[28,31,44,49,58,75,87,95,99],"number":[29,76,89],"enrollees":[32],"increases.":[33],"Although":[34],"many":[35],"multimodal":[36,69],"biometric":[37,54,70],"techniques":[38],"have":[39],"been":[40],"proposed":[41],"improve":[43],"requires":[48],"input":[52],"multiple":[53],"samples":[55],"and":[56],"makes":[57],"application":[59],"less":[60],"convenient.":[61],"In":[62],"this":[63],"paper,":[64],"we":[65],"propose":[66],"new":[68],"technique":[71],"that":[72,85],"significantly":[73],"reduces":[74],"inputs":[78],"by":[79],"adopting":[80],"multihypothesis":[82],"sequential":[83],"test":[84],"minimizes":[86],"average":[88],"observations.":[91],"results":[93],"experimental":[96],"evaluation":[97],"using":[98],"NIST":[100],"BSSR1":[101],"(Biometric":[102],"Score":[103],"Set":[104],"-":[105],"Release":[106],"1)":[107],"database":[108],"showed":[109],"effectiveness.":[111]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":5},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}