{"id":"https://openalex.org/W2217416026","doi":"https://doi.org/10.1109/btas.2015.7358764","title":"Fusing binary templates for multi-biometric cryptosystems","display_name":"Fusing binary templates for multi-biometric cryptosystems","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2217416026","doi":"https://doi.org/10.1109/btas.2015.7358764","mag":"2217416026"},"language":"en","primary_location":{"id":"doi:10.1109/btas.2015.7358764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/btas.2015.7358764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)","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/A5000495647","display_name":"Guangcan Mai","orcid":"https://orcid.org/0000-0002-0326-500X"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Guangcan Mai","raw_affiliation_strings":["Hong Kong Baptist University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110381583","display_name":"Meng-Hui Lim","orcid":null},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Meng-Hui Lim","raw_affiliation_strings":["Hong Kong Baptist University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079920605","display_name":"Pong C. Yuen","orcid":"https://orcid.org/0000-0002-9343-2202"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Pong C Yuen","raw_affiliation_strings":["Hong Kong Baptist University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141568987"],"apc_list":null,"apc_paid":null,"fwci":1.9424,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.88108602,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"6","issue":null,"first_page":"1","last_page":"8"},"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":0.9916999936103821,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.989799976348877,"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":0.8026084899902344},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8009344339370728},{"id":"https://openalex.org/keywords/template","display_name":"Template","score":0.6752562522888184},{"id":"https://openalex.org/keywords/cryptosystem","display_name":"Cryptosystem","score":0.6405218839645386},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6138545274734497},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5423122644424438},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4942805767059326},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4727426767349243},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45775094628334045},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.3748139441013336},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35497990250587463},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2654702663421631},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09656974673271179},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.07502701878547668}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8026084899902344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8009344339370728},{"id":"https://openalex.org/C82714645","wikidata":"https://www.wikidata.org/wiki/Q438331","display_name":"Template","level":2,"score":0.6752562522888184},{"id":"https://openalex.org/C6295992","wikidata":"https://www.wikidata.org/wiki/Q976521","display_name":"Cryptosystem","level":3,"score":0.6405218839645386},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6138545274734497},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5423122644424438},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4942805767059326},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4727426767349243},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45775094628334045},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.3748139441013336},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35497990250587463},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2654702663421631},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09656974673271179},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.07502701878547668},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/btas.2015.7358764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/btas.2015.7358764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7099999785423279}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320955","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1516486997","https://openalex.org/W1585588639","https://openalex.org/W1771769277","https://openalex.org/W1987478932","https://openalex.org/W2003671000","https://openalex.org/W2010865277","https://openalex.org/W2020216511","https://openalex.org/W2032551902","https://openalex.org/W2032843510","https://openalex.org/W2033419168","https://openalex.org/W2036501403","https://openalex.org/W2040734884","https://openalex.org/W2044862799","https://openalex.org/W2064923947","https://openalex.org/W2083657195","https://openalex.org/W2099691584","https://openalex.org/W2102796633","https://openalex.org/W2117698047","https://openalex.org/W2118282683","https://openalex.org/W2120452215","https://openalex.org/W2125587922","https://openalex.org/W2137659841","https://openalex.org/W2145479420","https://openalex.org/W2158580493","https://openalex.org/W2162720573","https://openalex.org/W2438833314","https://openalex.org/W2969318837","https://openalex.org/W3160027900","https://openalex.org/W6630812164","https://openalex.org/W6677359011","https://openalex.org/W6767080907"],"related_works":["https://openalex.org/W2121300814","https://openalex.org/W2076845124","https://openalex.org/W4231091074","https://openalex.org/W2183964146","https://openalex.org/W2379932303","https://openalex.org/W2029021368","https://openalex.org/W4232705780","https://openalex.org/W2965484163","https://openalex.org/W2512006651","https://openalex.org/W2096221836"],"abstract_inverted_index":{"Biometric":[0],"cryptosystem":[1],"has":[2],"been":[3],"proven":[4],"to":[5,24],"be":[6],"one":[7],"of":[8,40,86],"the":[9,38,56,65,80,84,87],"promising":[10],"approaches":[11],"for":[12,27,74],"template":[13,31,50,58],"protection.":[14],"Since":[15],"most":[16],"methods":[17],"in":[18],"this":[19],"approach":[20],"require":[21],"binary":[22,30,49],"input,":[23],"extend":[25],"it":[26],"multiple":[28],"modalities,":[29],"fusion":[32,51],"is":[33],"required.":[34],"This":[35],"paper":[36],"addresses":[37],"issues":[39],"multi-biometrics'":[41],"performance":[42],"and":[43,45,60],"security,":[44],"proposes":[46],"a":[47],"new":[48],"method":[52,82],"which":[53],"could":[54],"maximize":[55],"fused":[57],"discriminability":[59],"its":[61],"entropy":[62],"by":[63],"reducing":[64],"bits":[66],"dependency.":[67],"Three":[68],"publicly":[69],"available":[70],"datasets":[71],"are":[72],"used":[73],"experiments.":[75],"Experimental":[76],"results":[77],"show":[78],"that":[79],"proposed":[81],"outperforms":[83],"state":[85],"art":[88],"methods.":[89]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
