{"id":"https://openalex.org/W2936384392","doi":"https://doi.org/10.1109/ccis.2018.8691377","title":"Gabor Transform with Variable Window-Width for Finger Vein Recognition","display_name":"Gabor Transform with Variable Window-Width for Finger Vein Recognition","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2936384392","doi":"https://doi.org/10.1109/ccis.2018.8691377","mag":"2936384392"},"language":"en","primary_location":{"id":"doi:10.1109/ccis.2018.8691377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2018.8691377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS)","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/A5023113243","display_name":"Mangle Du","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mangle Du","raw_affiliation_strings":["School of Computer Science and Technology, Annuli University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Annuli University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069842088","display_name":"Lulu Ye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lulu Ye","raw_affiliation_strings":["School of Computer Science and Technology, Annuli University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Annuli University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066775159","display_name":"Huabin Wang","orcid":"https://orcid.org/0000-0001-5938-5409"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huabin Wang","raw_affiliation_strings":["Anhui University, Hefei, Anhui, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University, Hefei, Anhui, CN","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389169","display_name":"Ying He","orcid":"https://orcid.org/0000-0002-6749-4485"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ying He","raw_affiliation_strings":["School of Computer Science and Technology, Annuli University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Annuli University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008735779","display_name":"Tao Lang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lang Tao","raw_affiliation_strings":["School of Computer Science and Technology, Annuli University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Annuli University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":null,"first_page":"895","last_page":"899"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9959999918937683,"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":0.9959999918937683,"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/T10057","display_name":"Face and Expression Recognition","score":0.9336000084877014,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9243000149726868,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gabor-transform","display_name":"Gabor transform","score":0.655538022518158},{"id":"https://openalex.org/keywords/window-function","display_name":"Window function","score":0.6367471814155579},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5966757535934448},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5946172475814819},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.5097729563713074},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5076454877853394},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4846406579017639},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.44999822974205017},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4303266704082489},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3481751084327698},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3201417624950409},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.20508453249931335},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.09987422823905945}],"concepts":[{"id":"https://openalex.org/C173149727","wikidata":"https://www.wikidata.org/wiki/Q996397","display_name":"Gabor transform","level":4,"score":0.655538022518158},{"id":"https://openalex.org/C140101238","wikidata":"https://www.wikidata.org/wiki/Q1404885","display_name":"Window function","level":3,"score":0.6367471814155579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5966757535934448},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5946172475814819},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.5097729563713074},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5076454877853394},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4846406579017639},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.44999822974205017},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4303266704082489},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3481751084327698},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3201417624950409},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.20508453249931335},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.09987422823905945},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis.2018.8691377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2018.8691377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W101414327","https://openalex.org/W1786486465","https://openalex.org/W2035875937","https://openalex.org/W2103056131","https://openalex.org/W2115791784","https://openalex.org/W2117072267","https://openalex.org/W2130258210","https://openalex.org/W2131081720","https://openalex.org/W2151437980","https://openalex.org/W2163254531","https://openalex.org/W2569747121","https://openalex.org/W2573494230","https://openalex.org/W2604853352","https://openalex.org/W2735870192"],"related_works":["https://openalex.org/W2006322106","https://openalex.org/W2135003436","https://openalex.org/W3091532491","https://openalex.org/W2356621584","https://openalex.org/W1590458710","https://openalex.org/W2726128874","https://openalex.org/W2252113421","https://openalex.org/W2972035100","https://openalex.org/W2096240164","https://openalex.org/W2519939554"],"abstract_inverted_index":{"For":[0],"the":[1,7,10,16,25,32,47,62,78,82,88,92,97,100,106,128,133,150],"recognition":[2,43,134,156],"of":[3,9,27,73,81,87,99],"finger":[4,41,74,101,122],"vein":[5,42,75,102,123],"features,":[6],"window-width":[8,26,52],"window":[11,28,58,64],"function":[12,29],"is":[13,36,53,59,66,90,95,111,164],"fixed":[14],"in":[15],"traditional":[17],"real-valued":[18,69],"discrete":[19,70,83],"Gabor":[20,48,71,84],"transform,":[21],"this":[22],"paper":[23],"adjusts":[24],"dynamically":[30],"and":[31,65,105,115,130,141,163,169],"normalized":[33,107],"correlation":[34,108],"coefficient":[35,109],"used":[37,67,112],"to":[38,138,166],"identify,":[39],"then":[40],"method":[44],"based":[45],"on":[46,127,144],"transform":[49,85],"with":[50,119],"variable":[51],"proposed.":[54],"Firstly,":[55],"a":[56,154,158],"Gaussian":[57],"given":[60],"as":[61],"analysis":[63],"for":[68,113],"transforms":[72],"images.":[76],"Finally,":[77],"total":[79],"energy":[80],"coefficients":[86],"real-value":[89],"calculated,":[91,96],"information":[93],"entropy":[94],"characteristics":[98],"are":[103],"formed,":[104],"(NCC)":[110],"classification":[114],"recognition.":[116],"Results:":[117],"Compared":[118],"other":[120,139],"popular":[121],"feature":[124],"extraction":[125],"algorithms":[126,140],"FV-TJ":[129],"FV-SUM":[131],"database,":[132],"rate":[135],"was":[136],"superior":[137],"reached":[142],"99.39%":[143],"FV-SUM.":[145],"Experimental":[146],"results":[147],"show":[148],"that":[149],"proposed":[151],"algorithm":[152],"has":[153],"high":[155],"rate,":[157,162],"low":[159],"equal":[160],"error":[161],"robust":[165],"small-scale":[167],"displacement":[168],"rotation":[170],"changes.":[171]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
