{"id":"https://openalex.org/W4320004367","doi":"https://doi.org/10.1109/tifs.2023.3238546","title":"FVFSNet: Frequency-Spatial Coupling Network for Finger Vein Authentication","display_name":"FVFSNet: Frequency-Spatial Coupling Network for Finger Vein Authentication","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4320004367","doi":"https://doi.org/10.1109/tifs.2023.3238546"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2023.3238546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2023.3238546","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/A5029429886","display_name":"Junduan Huang","orcid":"https://orcid.org/0000-0002-5510-7046"},"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":true,"raw_author_name":"Junduan Huang","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"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/A5090136117","display_name":"An Zheng","orcid":"https://orcid.org/0000-0003-2279-7500"},"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":"An Zheng","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"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/A5000507990","display_name":"M. Saad Shakeel","orcid":"https://orcid.org/0000-0003-3729-2409"},"institutions":[{"id":"https://openalex.org/I4210128140","display_name":"Guangdong University of Petrochemical Technology","ror":"https://ror.org/030ffke25","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210128140"]},{"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":"M. Saad Shakeel","raw_affiliation_strings":["School of Automation, Guangdong University of Petrochemical Technology, Maoming, China","School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Petrochemical Technology, Maoming, China","institution_ids":["https://openalex.org/I4210128140"]},{"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/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"],"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/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","School of Future Technology, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Future Technology, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5029429886"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":9.2818,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.98692932,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"18","issue":null,"first_page":"1322","last_page":"1334"},"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/T11448","display_name":"Face recognition and analysis","score":0.9897000193595886,"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"}},{"id":"https://openalex.org/T10992","display_name":"Forensic Anthropology and Bioarchaeology Studies","score":0.9508000016212463,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7745707035064697},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.7042211294174194},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5752923488616943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5400065183639526},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44345471262931824},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43457308411598206},{"id":"https://openalex.org/keywords/spatial-frequency","display_name":"Spatial frequency","score":0.4252791106700897},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4249315857887268},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39576801657676697},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12549594044685364},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12358134984970093},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10558828711509705},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08734923601150513}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7745707035064697},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.7042211294174194},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5752923488616943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5400065183639526},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44345471262931824},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43457308411598206},{"id":"https://openalex.org/C100921725","wikidata":"https://www.wikidata.org/wiki/Q1650811","display_name":"Spatial frequency","level":2,"score":0.4252791106700897},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4249315857887268},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39576801657676697},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12549594044685364},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12358134984970093},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10558828711509705},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08734923601150513},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2023.3238546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2023.3238546","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":[{"display_name":"Peace, Justice and strong institutions","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G7630878542","display_name":null,"funder_award_id":"2022A1515010114","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G8192841804","display_name":null,"funder_award_id":"2022ZYGXZR099","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"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/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W62764563","https://openalex.org/W191940071","https://openalex.org/W226865439","https://openalex.org/W414265389","https://openalex.org/W1963920031","https://openalex.org/W1966602166","https://openalex.org/W1978379919","https://openalex.org/W2004617923","https://openalex.org/W2023631753","https://openalex.org/W2023854704","https://openalex.org/W2037340447","https://openalex.org/W2038924852","https://openalex.org/W2058362416","https://openalex.org/W2071450451","https://openalex.org/W2078740505","https://openalex.org/W2079970776","https://openalex.org/W2097418325","https://openalex.org/W2102780391","https://openalex.org/W2106474715","https://openalex.org/W2109393762","https://openalex.org/W2118323481","https://openalex.org/W2138004432","https://openalex.org/W2160085837","https://openalex.org/W2194775991","https://openalex.org/W2284457152","https://openalex.org/W2323637295","https://openalex.org/W2490846508","https://openalex.org/W2520774990","https://openalex.org/W2598954556","https://openalex.org/W2599632008","https://openalex.org/W2600360414","https://openalex.org/W2740909158","https://openalex.org/W2797558164","https://openalex.org/W2811014381","https://openalex.org/W2893920965","https://openalex.org/W2899444440","https://openalex.org/W2919938126","https://openalex.org/W2922535961","https://openalex.org/W2941767543","https://openalex.org/W2958587321","https://openalex.org/W2960957522","https://openalex.org/W2969985801","https://openalex.org/W3005370840","https://openalex.org/W3025751871","https://openalex.org/W3034256998","https://openalex.org/W3034473953","https://openalex.org/W3088877992","https://openalex.org/W3094147862","https://openalex.org/W3094897602","https://openalex.org/W3094926190","https://openalex.org/W3108342750","https://openalex.org/W3118308103","https://openalex.org/W3119247023","https://openalex.org/W3134449933","https://openalex.org/W3159177986","https://openalex.org/W3161372728","https://openalex.org/W3164208409","https://openalex.org/W3164466943","https://openalex.org/W3173462217","https://openalex.org/W3176576892","https://openalex.org/W3177521652","https://openalex.org/W3184881063","https://openalex.org/W3186169793","https://openalex.org/W3197795290","https://openalex.org/W3201106361","https://openalex.org/W4285175773","https://openalex.org/W4285180133","https://openalex.org/W4285263566","https://openalex.org/W4285506605","https://openalex.org/W4312656578","https://openalex.org/W4312820255","https://openalex.org/W6614412941","https://openalex.org/W6617411900","https://openalex.org/W6795463671","https://openalex.org/W6796417832"],"related_works":["https://openalex.org/W2029129495","https://openalex.org/W4387838477","https://openalex.org/W2042266315","https://openalex.org/W2003422891","https://openalex.org/W2067193074","https://openalex.org/W2182785089","https://openalex.org/W4312178642","https://openalex.org/W2375093801","https://openalex.org/W3107426390","https://openalex.org/W2062977671"],"abstract_inverted_index":{"Finger":[0],"vein":[1,36,44,92,124,162,192,255,273],"biometrics":[2],"is":[3,57,127,156,170,186,200,212,225],"becoming":[4],"an":[5,207],"important":[6,54],"source":[7],"of":[8,17,30,75,89,130,173,203,228,242,286],"human":[9],"authentication":[10],"due":[11],"to":[12,158,188,214],"its":[13],"advantages":[14,285],"in":[15,46,59,79,94,165,195],"terms":[16],"liveness":[18],"detection,":[19],"high":[20],"security,":[21],"and":[22,50,71,98,147,178,222,231,239,275,288],"user":[23],"convenience.":[24],"Although":[25],"there":[26],"exist":[27],"a":[28,86,116,268],"lot":[29],"deep":[31],"learning-based":[32],"methods":[33],"for":[34,122],"finger":[35,43,91,123,161,191,254,272],"authentication,":[37,274],"they":[38],"only":[39],"extract":[40,159,189],"features":[41,93,103,163,193,217],"from":[42,105,219],"images":[45],"the":[47,64,72,80,96,102,134,141,149,160,166,174,179,190,196,216,220,229,240,261,276,280,284],"spatial":[48,97,142,197,232],"domain":[49,136,143,176,181,263],"may":[51],"lose":[52],"some":[53],"information":[55],"that":[56,260],"present":[58,164,194],"other":[60],"domains,":[61],"such":[62],"as":[63],"frequency":[65,81,99,135,167,180,262],"domain.":[66],"Motivated":[67],"by":[68],"this":[69,83],"conjecture":[70,238],"remarkable":[73],"performance":[74,282],"image":[76],"feature":[77],"extraction":[78],"domain,":[82,168,198],"work":[84],"explores":[85],"method":[87],"capable":[88],"extracting":[90],"both":[95],"domains.":[100],"Therefore,":[101],"extracted":[104,218],"different":[106],"domains":[107],"can":[108],"complement":[109],"each":[110],"other.":[111],"In":[112],"addition,":[113],"we":[114],"propose":[115],"novel":[117],"frequency-spatial":[118,150,175],"coupling":[119,151],"network":[120,266],"(FVFSNet)":[121],"authentication.":[125],"FVFSNet":[126,278],"mainly":[128,171,201,226],"composed":[129,172,202,227],"three":[131],"parts:":[132],"(1)":[133],"processing":[137,144],"module":[138,145,152],"(FDPM),":[139],"(2)":[140],"(SDPM),":[146],"(3)":[148],"(FSCM).":[153],"The":[154,184,210],"FDPM":[155,221],"used":[157,187,213,251],"which":[169,199,224],"transformation":[177],"convolution":[182,204],"layer.":[183],"SDPM":[185],"layers":[205],"with":[206,283],"efficient":[208],"design.":[209],"FSCM":[211],"couple":[215],"SDPM,":[223],"channel":[230],"attention":[233],"mechanisms.":[234],"To":[235],"validate":[236],"our":[237],"performances":[241],"FVFSNet,":[243],"extensive":[244],"experiments":[245],"are":[246],"conducted":[247],"on":[248,271],"nine":[249],"commonly":[250],"publicly":[252],"available":[253],"datasets.":[256],"Experimental":[257],"results":[258],"show":[259],"constitutional":[264],"neural":[265],"has":[267],"surprising":[269],"effect":[270],"proposed":[277],"achieves":[279],"state-of-the-art":[281],"lightweight":[287],"low":[289],"computational":[290],"cost.":[291]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":5}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}