{"id":"https://openalex.org/W3011835379","doi":"https://doi.org/10.1109/access.2020.2979902","title":"Finger Vein Recognition Based on Fusion of Deformation Information","display_name":"Finger Vein Recognition Based on Fusion of Deformation Information","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3011835379","doi":"https://doi.org/10.1109/access.2020.2979902","mag":"3011835379"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2979902","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2979902","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09031414.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09031414.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040809758","display_name":"Xianjing Meng","orcid":"https://orcid.org/0000-0002-5641-0725"},"institutions":[{"id":"https://openalex.org/I59483232","display_name":"Shandong University of Finance and Economics","ror":"https://ror.org/02e2nnq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I59483232"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianjing Meng","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China","institution_ids":["https://openalex.org/I59483232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076976404","display_name":"Xiaoming Xi","orcid":"https://orcid.org/0000-0002-0415-3608"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Xi","raw_affiliation_strings":["School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101530714","display_name":"Zongwei Li","orcid":"https://orcid.org/0000-0003-1682-6096"},"institutions":[{"id":"https://openalex.org/I59483232","display_name":"Shandong University of Finance and Economics","ror":"https://ror.org/02e2nnq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I59483232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongwei Li","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China","institution_ids":["https://openalex.org/I59483232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013623573","display_name":"Qing Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Zhang","raw_affiliation_strings":["Fine Arts School, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Fine Arts School, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040809758"],"corresponding_institution_ids":["https://openalex.org/I59483232"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7608,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.69726384,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"50519","last_page":"50530"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"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":0.9998999834060669,"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/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9750999808311462,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14333","display_name":"Dermatoglyphics and Human Traits","score":0.973800003528595,"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":0.7446918487548828},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6960408687591553},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6921436786651611},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6759194135665894},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6589226722717285},{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.5992240309715271},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.557875394821167},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.518170952796936},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4972439110279083},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4761381447315216},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20944583415985107},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06332150101661682}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7446918487548828},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6960408687591553},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6921436786651611},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6759194135665894},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6589226722717285},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.5992240309715271},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.557875394821167},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.518170952796936},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4972439110279083},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4761381447315216},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20944583415985107},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06332150101661682},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2979902","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2979902","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09031414.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:53354b2bf7374d1a861ded9d64365cbf","is_oa":true,"landing_page_url":"https://doaj.org/article/53354b2bf7374d1a861ded9d64365cbf","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 50519-50530 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2979902","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2979902","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09031414.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8199999928474426}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G302561777","display_name":null,"funder_award_id":"61801263","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4996831238","display_name":null,"funder_award_id":"61701280","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5249178904","display_name":null,"funder_award_id":"Grant No. 6","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7608752429","display_name":null,"funder_award_id":"Talent","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7772244130","display_name":null,"funder_award_id":"61573219","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3011835379.pdf","grobid_xml":"https://content.openalex.org/works/W3011835379.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W34937552","https://openalex.org/W67396794","https://openalex.org/W191940071","https://openalex.org/W1230023165","https://openalex.org/W1669383326","https://openalex.org/W1811332408","https://openalex.org/W1968944847","https://openalex.org/W1991620112","https://openalex.org/W1997175872","https://openalex.org/W2004617923","https://openalex.org/W2018230213","https://openalex.org/W2023631753","https://openalex.org/W2039004170","https://openalex.org/W2039536345","https://openalex.org/W2053009119","https://openalex.org/W2074487155","https://openalex.org/W2078136378","https://openalex.org/W2078810896","https://openalex.org/W2079366010","https://openalex.org/W2080562729","https://openalex.org/W2097418325","https://openalex.org/W2101234009","https://openalex.org/W2102780391","https://openalex.org/W2122790104","https://openalex.org/W2140494000","https://openalex.org/W2140959843","https://openalex.org/W2141717716","https://openalex.org/W2151103935","https://openalex.org/W2153736577","https://openalex.org/W2167620564","https://openalex.org/W2284457152","https://openalex.org/W2286640670","https://openalex.org/W2552954853","https://openalex.org/W2566696002","https://openalex.org/W2598954556","https://openalex.org/W2599632008","https://openalex.org/W2751169131","https://openalex.org/W2811014381","https://openalex.org/W2907847267","https://openalex.org/W2942413398","https://openalex.org/W3148903031","https://openalex.org/W3217380390","https://openalex.org/W4246794637","https://openalex.org/W4255569340","https://openalex.org/W4285719527","https://openalex.org/W6675354045","https://openalex.org/W6696422880"],"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/W2019582947","https://openalex.org/W3212688212","https://openalex.org/W4300873085","https://openalex.org/W1978437861"],"abstract_inverted_index":{"As":[0],"a":[1,24,92],"convenient":[2],"and":[3,44,69,75,142,159,189,208],"fraud-proof":[4],"biometric,":[5],"finger":[6,19,30,67,118],"vein":[7,20,31,119],"has":[8],"received":[9],"increasing":[10],"attention":[11],"from":[12,33,150],"researchers.":[13],"However,":[14],"the":[15,27,38,57,79,85,96,106,110,117,122,135,143,151,155,167,176,184,194,197,201,212,235,251,256],"deformation":[16,98,147,223],"problem":[17],"in":[18,78,231],"images":[21,61],"is":[22,54,62,83,128,140,148,228],"still":[23],"challenge":[25],"preventing":[26],"performance":[28],"of":[29,137,146,157,196,206],"recognition":[32,107,220],"prefect.":[34],"In":[35,87],"our":[36],"opinion,":[37],"deformations":[39,169],"are":[40,113,170,216],"distinguishable":[41],"between":[42,59],"genuine":[43,60],"imposter":[45,80],"fingers":[46],"rather":[47],"than":[48,219],"performing":[49],"as":[50],"disturbing":[51],"noises.":[52],"It":[53],"because":[55],"that":[56],"diversity":[58],"mainly":[63],"caused":[64],"by":[65,130,175],"different":[66],"postures,":[68],"this":[70,88],"difference":[71],"can":[72,245],"be":[73,246],"characterized":[74],"utilized.":[76],"While":[77],"matching,":[81],"it":[82],"not":[84],"case.":[86],"paper,":[89],"we":[90],"design":[91],"framework":[93],"to":[94,104,115,248],"ensemble":[95],"encoded":[97,168],"information":[99],"with":[100,166,200,222],"traditional":[101],"texture-based":[102],"method":[103,227],"improve":[105],"performance.":[108],"First,":[109],"pixel-level":[111,163],"features":[112,145],"extracted":[114,149],"represent":[116],"images.":[120],"Next,":[121],"best":[123],"matching":[124,161],"for":[125,162],"each":[126,138],"pixel":[127,139],"discovered":[129],"an":[131],"optimized":[132,160],"matching.":[133],"Consequently,":[134],"displacement":[136,152],"obtained,":[141],"texture":[144],"matrices.":[153],"Furthermore,":[154],"results":[156],"direct":[158],"features,":[164],"together":[165],"fused":[171],"using":[172],"weights":[173],"learned":[174],"Support":[177],"Vector":[178],"Machine":[179],"(SVM)":[180],"model.":[181],"Evaluated":[182],"on":[183,211,250],"publicly":[185],"available":[186],"databases":[187],"HKPU":[188,252],"SDU-MLA,":[190],"extensive":[191],"experiments":[192],"demonstrate":[193],"superiority":[195],"proposed":[198,226],"method,":[199],"Equal":[202],"Error":[203],"Rates":[204],"(EERs)":[205],"0.0040":[207],"0.0266":[209],"respectively":[210],"two":[213],"databases,":[214],"which":[215],"much":[217],"lower":[218],"solely":[221],"information.":[224],"The":[225],"also":[229],"applicable":[230],"high":[232],"security":[233],"scenarios,":[234],"False":[236,241],"Reject":[237],"Rate":[238,243],"at":[239],"zero":[240],"Accept":[242],"(FRR-at-0-FAR)":[244],"reduced":[247],"0.0363":[249],"database":[253],"through":[254],"adjusting":[255],"fusion":[257],"parameters.":[258]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}