{"id":"https://openalex.org/W3034256998","doi":"https://doi.org/10.1109/tim.2020.3001410","title":"FVRAS-Net: An Embedded Finger-Vein Recognition and AntiSpoofing System Using a Unified CNN","display_name":"FVRAS-Net: An Embedded Finger-Vein Recognition and AntiSpoofing System Using a Unified CNN","publication_year":2020,"publication_date":"2020-06-10","ids":{"openalex":"https://openalex.org/W3034256998","doi":"https://doi.org/10.1109/tim.2020.3001410","mag":"3034256998"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2020.3001410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.3001410","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5068156849","display_name":"Weili Yang","orcid":"https://orcid.org/0000-0002-3870-4703"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weili Yang","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3870-4703","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101879161","display_name":"Wei Luo","orcid":"https://orcid.org/0000-0001-9978-2783"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Luo","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9978-2783","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089840086","display_name":"Wenxiong Kang","orcid":"https://orcid.org/0000-0001-9023-7252"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxiong Kang","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9023-7252","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101610105","display_name":"Zhixing Huang","orcid":"https://orcid.org/0000-0002-1006-5700"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixing Huang","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1006-5700","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064063888","display_name":"Qiuxia Wu","orcid":"https://orcid.org/0000-0002-2284-7806"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuxia Wu","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2284-7806","affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":6.833,"has_fulltext":false,"cited_by_count":108,"citation_normalized_percentile":{"value":0.97798575,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"69","issue":"11","first_page":"8690","last_page":"8701"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998000264167786,"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":0.9998000264167786,"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/T10751","display_name":"Forensic and Genetic Research","score":0.964900016784668,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14333","display_name":"Dermatoglyphics and Human Traits","score":0.9585000276565552,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.782526969909668},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7035747170448303},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6948177814483643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6634930968284607},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5566313862800598},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5177225470542908},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4584145247936249},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4390435516834259},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42853254079818726},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.42404255270957947},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41259002685546875},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3651416003704071},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19192850589752197}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.782526969909668},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7035747170448303},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6948177814483643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6634930968284607},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5566313862800598},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5177225470542908},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4584145247936249},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4390435516834259},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42853254079818726},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.42404255270957947},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41259002685546875},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3651416003704071},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19192850589752197},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2020.3001410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.3001410","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G1359260966","display_name":null,"funder_award_id":"61573151","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5407078913","display_name":null,"funder_award_id":"2018PY24","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5827970503","display_name":null,"funder_award_id":"2018B030323026","funder_id":"https://openalex.org/F4320335795","funder_display_name":"Science and Technology Planning Project of Guangdong Province"},{"id":"https://openalex.org/G8556967462","display_name":null,"funder_award_id":"61976095","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320335795","display_name":"Science and Technology Planning Project of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W34937552","https://openalex.org/W191940071","https://openalex.org/W1500670950","https://openalex.org/W1585854606","https://openalex.org/W1683804962","https://openalex.org/W1686810756","https://openalex.org/W1918676558","https://openalex.org/W1966602166","https://openalex.org/W1970490745","https://openalex.org/W1970972145","https://openalex.org/W1992840210","https://openalex.org/W2010986580","https://openalex.org/W2018604261","https://openalex.org/W2023631753","https://openalex.org/W2032476112","https://openalex.org/W2041239017","https://openalex.org/W2051075456","https://openalex.org/W2053009119","https://openalex.org/W2053010053","https://openalex.org/W2058362416","https://openalex.org/W2061061585","https://openalex.org/W2064564753","https://openalex.org/W2071450451","https://openalex.org/W2084609952","https://openalex.org/W2097418325","https://openalex.org/W2101042729","https://openalex.org/W2102780391","https://openalex.org/W2107537541","https://openalex.org/W2118323481","https://openalex.org/W2119821739","https://openalex.org/W2130258210","https://openalex.org/W2141717716","https://openalex.org/W2154691736","https://openalex.org/W2154863642","https://openalex.org/W2161969291","https://openalex.org/W2186073930","https://openalex.org/W2194775991","https://openalex.org/W2253393184","https://openalex.org/W2275484971","https://openalex.org/W2325939864","https://openalex.org/W2328254514","https://openalex.org/W2490846508","https://openalex.org/W2523278808","https://openalex.org/W2548023014","https://openalex.org/W2564111769","https://openalex.org/W2599632008","https://openalex.org/W2600360414","https://openalex.org/W2619311872","https://openalex.org/W2624181600","https://openalex.org/W2626053630","https://openalex.org/W2740909158","https://openalex.org/W2758913579","https://openalex.org/W2785451509","https://openalex.org/W2793410607","https://openalex.org/W2811014381","https://openalex.org/W2887941630","https://openalex.org/W2897378983","https://openalex.org/W2903419854","https://openalex.org/W2921209596","https://openalex.org/W2922535961","https://openalex.org/W2945197573","https://openalex.org/W2948212638","https://openalex.org/W2952526090","https://openalex.org/W2963446712","https://openalex.org/W4239510810","https://openalex.org/W4251287167","https://openalex.org/W6617411900","https://openalex.org/W6637373629","https://openalex.org/W6739718167"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2379932303","https://openalex.org/W2095239294","https://openalex.org/W3147744369","https://openalex.org/W2062586268","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983"],"abstract_inverted_index":{"Despite":[0],"claims":[1],"that":[2,12,184],"finger-vein":[3,39,137,153,179],"biometrics":[4],"can":[5,15,140],"detect":[6],"aliveness,":[7],"recent":[8],"research":[9],"has":[10],"shown":[11],"current":[13],"systems":[14],"be":[16],"fooled":[17],"by":[18,55,64,102],"forged":[19],"vein":[20,60],"patterns":[21],"printed":[22],"on":[23,197,202],"a":[24,74,98,104,118,151],"distinctive":[25],"paper,":[26],"raising":[27],"considerable":[28],"security":[29,112],"concerns":[30],"regarding":[31],"the":[32,50,81,90,94,125,132,143,147,169,174,178,185],"identification":[33,40],"authenticity":[34],"of":[35,146,168],"these":[36,70],"systems.":[37],"Additionally,":[38],"exhibits":[41],"low":[42],"accuracy":[43],"rates":[44],"in":[45,191],"real-world":[46],"applications":[47],"due":[48],"to":[49,129],"inferior":[51],"image":[52,135],"quality":[53],"caused":[54,63],"varied":[56],"finger":[57,65,160],"thicknesses":[58],"and":[59,84,93,109,113,194],"pattern":[61],"variations":[62],"axial":[66,159,208],"rotation.":[67,209],"To":[68],"address":[69],"issues,":[71],"we":[72],"propose":[73],"lightweight":[75],"convolutional":[76],"neural":[77],"network":[78],"(CNN)":[79],"called":[80],"Finger-Vein":[82],"Recognition":[83],"AntiSpoofing":[85],"Network":[86],"(FVRAS-Net),":[87],"which":[88,139,172],"integrates":[89],"recognition":[91,144,180,193],"task":[92,96],"antispoofing":[95,195],"into":[97,124],"unified":[99],"CNN":[100],"model":[101],"utilizing":[103],"multitask":[105],"learning":[106],"(MTL)":[107],"approach":[108],"achieves":[110,188],"high":[111],"strong":[114],"real-time":[115],"performance.":[116],"Then,":[117],"multi-intensity":[119],"illumination":[120],"strategy":[121],"is":[122,162],"introduced":[123],"embedded":[126],"biometric":[127],"system":[128],"automatically":[130],"select":[131],"most":[133],"informative":[134],"for":[136,164,177],"identification,":[138],"effectively":[141],"improve":[142],"performance":[145,190],"real":[148],"system.":[149],"Finally,":[150],"challenging":[152,203],"database":[154,175],"with":[155,205],"images":[156,206],"depicting":[157,207],"severe":[158],"rotation":[161],"built":[163],"more":[165],"rigorous":[166],"validation":[167],"proposed":[170,186],"system,":[171],"enriches":[173],"resources":[176],"community.":[181],"Experiments":[182],"demonstrate":[183],"FVRAS-Net":[187],"excellent":[189],"both":[192],"tasks":[196],"public":[198],"data":[199],"sets,":[200],"especially":[201],"databases":[204]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":30},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":10}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}