{"id":"https://openalex.org/W3000752555","doi":"https://doi.org/10.1109/spac46244.2018.8965461","title":"Competition Code And LBP Palm Vein Feature-Level Fusion Using Canonical Correlation Analysis","display_name":"Competition Code And LBP Palm Vein Feature-Level Fusion Using Canonical Correlation Analysis","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W3000752555","doi":"https://doi.org/10.1109/spac46244.2018.8965461","mag":"3000752555"},"language":"en","primary_location":{"id":"doi:10.1109/spac46244.2018.8965461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac46244.2018.8965461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","raw_type":"proceedings-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/A5051159439","display_name":"XiYu Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"XiYu Wang","raw_affiliation_strings":["School of Information Science and Engineering, University of JiNan, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of JiNan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052917423","display_name":"Hengjian Li","orcid":"https://orcid.org/0000-0002-9702-824X"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"HengJian Li","raw_affiliation_strings":["School of Information Science and Engineering, University of JiNan, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of JiNan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101952794","display_name":"Jian Qiu","orcid":"https://orcid.org/0000-0001-7873-0722"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Qiu","raw_affiliation_strings":["School of Information Science and Engineering, University of JiNan, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of JiNan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008836637","display_name":"Changzhi Yu","orcid":"https://orcid.org/0000-0002-2836-8793"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ChangZhi Yu","raw_affiliation_strings":["School of Information Science and Engineering, University of JiNan, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of JiNan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051159439"],"corresponding_institution_ids":["https://openalex.org/I34949971"],"apc_list":null,"apc_paid":null,"fwci":0.1651,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5171385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"28","issue":null,"first_page":"37","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.982200026512146,"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":0.982200026512146,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9217000007629395,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/feature-extraction","display_name":"Feature extraction","score":0.7058812379837036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6954523921012878},{"id":"https://openalex.org/keywords/palm-print","display_name":"Palm print","score":0.6774411201477051},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6299360394477844},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5935993790626526},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5905645489692688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5663905143737793},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.5555797815322876},{"id":"https://openalex.org/keywords/palm","display_name":"Palm","score":0.5458940863609314},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.5227249264717102},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3960873484611511},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16048601269721985},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.10940665006637573}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7058812379837036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6954523921012878},{"id":"https://openalex.org/C2777503689","wikidata":"https://www.wikidata.org/wiki/Q7128108","display_name":"Palm print","level":3,"score":0.6774411201477051},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6299360394477844},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5935993790626526},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5905645489692688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5663905143737793},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.5555797815322876},{"id":"https://openalex.org/C94598645","wikidata":"https://www.wikidata.org/wiki/Q2347874","display_name":"Palm","level":2,"score":0.5458940863609314},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.5227249264717102},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3960873484611511},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16048601269721985},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.10940665006637573},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spac46244.2018.8965461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac46244.2018.8965461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W66979570","https://openalex.org/W1545641654","https://openalex.org/W2013491563","https://openalex.org/W2039051707","https://openalex.org/W2063643424","https://openalex.org/W2072015264","https://openalex.org/W2081689238","https://openalex.org/W2097290407","https://openalex.org/W2142704643","https://openalex.org/W2163808566","https://openalex.org/W2198930778","https://openalex.org/W2405680777","https://openalex.org/W2464190088","https://openalex.org/W2598653008","https://openalex.org/W2603932708","https://openalex.org/W2773196576","https://openalex.org/W4243097765","https://openalex.org/W6718991951"],"related_works":["https://openalex.org/W1602557501","https://openalex.org/W2765988996","https://openalex.org/W3135266770","https://openalex.org/W2260048578","https://openalex.org/W79564642","https://openalex.org/W2736294736","https://openalex.org/W2898228808","https://openalex.org/W1813403894","https://openalex.org/W2329581426","https://openalex.org/W4241479212"],"abstract_inverted_index":{"Biometrics":[0],"is":[1,52,176,266,281],"a":[2,21,115,119,177,228],"discipline":[3],"in":[4,40,48,65,132,199,227,259],"computer":[5],"science":[6],"that":[7],"uses":[8,138],"biometrics":[9],"to":[10,54,69,90,102,124,146,163,268,277],"identify":[11],"people":[12],"and":[13,56,118,152,194],"control":[14],"access.":[15],"With":[16],"the":[17,41,45,59,76,85,92,97,104,139,144,148,153,156,161,165,187,200,212,217,238,248,256,263,271,274,278],"development":[18],"of":[19,23,44,143,160,216,231,273],"technology,":[20],"variety":[22],"biometric":[24],"recognition":[25,34,264],"technologies":[26],"are":[27,38,63,112,224],"widely":[28],"used,":[29],"such":[30],"as":[31],"palm":[32,46,60,86,109,128,149,166,220,240,249],"vein":[33,47,61,87,110,129,150,167,241,250],"technology.":[35],"However,":[36],"there":[37],"deficiencies":[39],"feature":[42,73,78,106,159,184,197,214,244,251],"extraction":[43],"one":[49],"way.":[50],"It":[51],"difficult":[53],"classify":[55],"identify.":[57],"Therefore,":[58],"features":[62,111,130,171],"extracted":[64,113],"two":[66,71,77,105,126,170,183,213],"different":[67,72,127],"ways":[68],"obtain":[70,125],"sets.":[74,107],"And":[75,262],"sets":[79,131,185,215],"have":[80],"complementary":[81],"characteristics":[82],"when":[83,270],"expressing":[84],"features.":[88],"Then,":[89],"improve":[91],"classification":[93,206,257],"effect,":[94],"we":[95],"used":[96],"Canonical":[98],"Correlation":[99],"Analysis":[100],"(CCA)":[101],"fuse":[103],"The":[108,135],"using":[114],"Competition":[116,136],"Code":[117,137],"Local":[120],"Binary":[121],"Pattern":[122],"(LBP)":[123],"this":[133],"paper.":[134],"local":[140,157],"orientation":[141],"information":[142],"image":[145,162],"extract":[147,164],"feature,":[151,247],"LBP":[154,246],"utilizes":[155],"texture":[158],"feature.":[168],"These":[169],"can":[172,208],"achieve":[173],"complementarity.":[174],"CCA":[175,181,218,253],"feature-level":[178],"fusion":[179,198,219,254],"technique.":[180],"projects":[182],"into":[186],"same":[188,201],"spatial":[189,202],"domain":[190],"through":[191],"linear":[192],"transformation,":[193],"achieves":[195],"effective":[196],"domain.":[203],"A":[204],"good":[205],"effect":[207],"be":[209],"achieved":[210],"by":[211],"vein.":[221],"Our":[222],"experiments":[223],"carried":[225],"out":[226],"public":[229],"database":[230],"Hong":[232],"Kong":[233],"Polytechnic":[234],"University.":[235],"Compared":[236],"with":[237],"single":[239],"competition":[242],"code":[243],"or":[245],"after":[252],"shortens":[255],"time":[258],"some":[260],"degree.":[261],"rate":[265],"increased":[267],"98.14%":[269],"ratio":[272],"training":[275],"sample":[276,280],"test":[279],"9:3.":[282]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
