{"id":"https://openalex.org/W2946595465","doi":"https://doi.org/10.1109/tifs.2019.2917156","title":"Lightweight and Privacy-Preserving Template Generation for Palm-Vein-Based Human Recognition","display_name":"Lightweight and Privacy-Preserving Template Generation for Palm-Vein-Based Human Recognition","publication_year":2019,"publication_date":"2019-05-15","ids":{"openalex":"https://openalex.org/W2946595465","doi":"https://doi.org/10.1109/tifs.2019.2917156","mag":"2946595465"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2019.2917156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2019.2917156","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-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/A5084310113","display_name":"Fawad Ahmad","orcid":"https://orcid.org/0000-0001-8271-1073"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Fawad Ahmad","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-8271-1073","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024974435","display_name":"L.M. Cheng","orcid":"https://orcid.org/0000-0001-5501-8441"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lee-Ming Cheng","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-5501-8441","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054591491","display_name":"Asif Khan","orcid":"https://orcid.org/0000-0002-9840-5289"},"institutions":[{"id":"https://openalex.org/I5400463","display_name":"Ghulam Ishaq Khan Institute of Engineering Sciences and Technology","ror":"https://ror.org/01sb6ek09","country_code":"PK","type":"education","lineage":["https://openalex.org/I5400463"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Asif Khan","raw_affiliation_strings":["Faculty of Computer Science and Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-9840-5289","affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Pakistan","institution_ids":["https://openalex.org/I5400463"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.2353,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.96435519,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"15","issue":null,"first_page":"184","last_page":"194"},"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":0.9894999861717224,"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/T11448","display_name":"Face recognition and analysis","score":0.9695000052452087,"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":0.8356783986091614},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.786207914352417},{"id":"https://openalex.org/keywords/byte","display_name":"Byte","score":0.5398632287979126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46621519327163696},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.4383273124694824},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37577539682388306},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37059634923934937},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34851500391960144},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3384838104248047},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.1973687708377838},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.19309476017951965}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8356783986091614},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.786207914352417},{"id":"https://openalex.org/C43364308","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Byte","level":2,"score":0.5398632287979126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46621519327163696},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.4383273124694824},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37577539682388306},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37059634923934937},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34851500391960144},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3384838104248047},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.1973687708377838},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.19309476017951965}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2019.2917156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2019.2917156","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W170507967","https://openalex.org/W875809763","https://openalex.org/W1480491915","https://openalex.org/W1490122681","https://openalex.org/W1533162639","https://openalex.org/W1584467222","https://openalex.org/W1593210468","https://openalex.org/W1959608418","https://openalex.org/W1963920031","https://openalex.org/W1965520420","https://openalex.org/W1968517241","https://openalex.org/W1977815744","https://openalex.org/W1982199619","https://openalex.org/W1988575427","https://openalex.org/W1991352166","https://openalex.org/W1999536796","https://openalex.org/W2004194220","https://openalex.org/W2006412088","https://openalex.org/W2018667667","https://openalex.org/W2021253064","https://openalex.org/W2031337792","https://openalex.org/W2045146865","https://openalex.org/W2050770647","https://openalex.org/W2052506731","https://openalex.org/W2054168018","https://openalex.org/W2056024773","https://openalex.org/W2074548247","https://openalex.org/W2083670679","https://openalex.org/W2119416456","https://openalex.org/W2120645859","https://openalex.org/W2144025519","https://openalex.org/W2147668280","https://openalex.org/W2150750018","https://openalex.org/W2162547327","https://openalex.org/W2190381199","https://openalex.org/W2304776229","https://openalex.org/W2466367677","https://openalex.org/W2542160951","https://openalex.org/W2599632008","https://openalex.org/W2605135824","https://openalex.org/W2626843741","https://openalex.org/W2735323847","https://openalex.org/W2789324005","https://openalex.org/W2792557137","https://openalex.org/W2811014381","https://openalex.org/W2951004968","https://openalex.org/W2962879692","https://openalex.org/W2963656031","https://openalex.org/W4295521014","https://openalex.org/W6623970834"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2062586268","https://openalex.org/W2379932303","https://openalex.org/W4300873085","https://openalex.org/W2019582947","https://openalex.org/W3147744369","https://openalex.org/W4241440711","https://openalex.org/W3212688212","https://openalex.org/W3104966193"],"abstract_inverted_index":{"The":[0,82,152,175],"use":[1],"of":[2,30,38,49,160,183,195],"human":[3,13,31],"biometrics":[4,32],"is":[5,12],"becoming":[6],"widespread":[7],"and":[8,23,47,86,94,101,117,127,150,164,170,192,198],"its":[9,148],"major":[10],"application":[11],"recognition":[14,34,80],"for":[15,33,63,147,166],"controlling":[16],"unauthorized":[17],"access":[18],"to":[19,59,120,131,135],"both":[20],"digital":[21],"services":[22],"physical":[24],"localities.":[25],"However,":[26],"the":[27,110,125,132,144,184],"practical":[28],"deployment":[29],"poses":[35],"a":[36,74,99,137,188],"number":[37],"challenges,":[39],"such":[40],"as":[41],"template":[42,190],"storage":[43,96],"capacity,":[44],"computational":[45,92,193],"requirements,":[46],"privacy":[48],"biometric":[50],"information.":[51],"These":[52],"challenges":[53],"are":[54,129],"important":[55],"considerations,":[56],"in":[57,109],"addition":[58],"performance":[60,149],"accuracy,":[61],"especially":[62],"authentication":[64],"systems":[65],"with":[66,90,187],"limited":[67],"resources.":[68],"In":[69],"this":[70],"paper,":[71],"we":[72,105],"propose":[73],"wave":[75],"atom":[76],"transform":[77],"(WAT)-based":[78],"palm-vein":[79,88,107,140,172],"scheme.":[81],"scheme":[83,146,154,186],"computes,":[84],"maintains,":[85],"matches":[87],"templates":[89],"less":[91,95],"complexity":[93],"requirements":[97],"under":[98],"secure":[100],"privacy-preserving":[102,139],"environment.":[103],"First,":[104],"extract":[106,121],"traits":[108],"WAT":[111],"domain,":[112],"which":[113],"offers":[114],"sparser":[115],"expansion":[116],"better":[118],"capability":[119],"texture":[122],"features.":[123],"Then,":[124],"randomization":[126],"quantization":[128],"applied":[130],"extracted":[133],"features":[134],"generate":[136],"compact,":[138],"template.":[141],"We":[142],"analyze":[143],"proposed":[145,153,185],"privacy-preservation.":[151],"obtains":[155],"equal":[156],"error":[157],"rates":[158],"(EERs)":[159],"1.98%,":[161],"0%,":[162],"3.05%,":[163],"1.49%":[165],"PolyU,":[167],"PUT,":[168],"VERA":[169],"our":[171],"datasets,":[173],"respectively.":[174,201],"extensive":[176],"experimental":[177],"results":[178],"demonstrate":[179],"comparable":[180],"matching":[181],"accuracy":[182],"minimum":[189],"size":[191],"time":[194],"280":[196],"bytes":[197],"0.43":[199],"s,":[200]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
