{"id":"https://openalex.org/W2625618524","doi":"https://doi.org/10.1109/isba.2017.7947697","title":"Parameter adjustment of finger vein recognition algorithms","display_name":"Parameter adjustment of finger vein recognition algorithms","publication_year":2017,"publication_date":"2017-02-01","ids":{"openalex":"https://openalex.org/W2625618524","doi":"https://doi.org/10.1109/isba.2017.7947697","mag":"2625618524"},"language":"en","primary_location":{"id":"doi:10.1109/isba.2017.7947697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isba.2017.7947697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)","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/A5034648573","display_name":"Zheng He","orcid":"https://orcid.org/0000-0002-7700-0901"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"He Zheng","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055043003","display_name":"Yapeng Ye","orcid":"https://orcid.org/0000-0001-7232-0650"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yapeng Ye","raw_affiliation_strings":["Peking University, Beijing, Beijing, CN"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100690915","display_name":"Shilei Liu","orcid":"https://orcid.org/0000-0002-9053-8458"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shilei Liu","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112309245","display_name":"Liao Ni","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liao Ni","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100388218","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0002-7731-0301"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Yi","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074673170","display_name":"Houjun Huang","orcid":"https://orcid.org/0000-0003-0757-0949"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houjun Huang","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100397214","display_name":"Wenxin Li","orcid":"https://orcid.org/0000-0003-1744-7792"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxin Li","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5034648573"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.3776,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55530989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":1.0,"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":1.0,"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/T11800","display_name":"User Authentication and Security Systems","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14333","display_name":"Dermatoglyphics and Human Traits","score":0.9772999882698059,"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":0.6832365989685059},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.667654275894165},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6573328971862793},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5651386976242065},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5532895922660828},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5520423650741577},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5514137744903564},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5258517861366272},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5023684501647949},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5013141632080078},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49112197756767273},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3929729461669922},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2796092629432678},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12422475218772888}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6832365989685059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.667654275894165},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6573328971862793},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5651386976242065},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5532895922660828},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5520423650741577},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5514137744903564},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5258517861366272},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5023684501647949},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5013141632080078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49112197756767273},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3929729461669922},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2796092629432678},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12422475218772888},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isba.2017.7947697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isba.2017.7947697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1482722110","https://openalex.org/W1991620112","https://openalex.org/W2032476112","https://openalex.org/W2085194388","https://openalex.org/W2102780391","https://openalex.org/W2118323481","https://openalex.org/W2142765153","https://openalex.org/W4246794637","https://openalex.org/W6628973536"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2379932303","https://openalex.org/W3147744369","https://openalex.org/W4241440711","https://openalex.org/W2353749315","https://openalex.org/W2211301776","https://openalex.org/W1995418324","https://openalex.org/W2982428536","https://openalex.org/W2060905804"],"abstract_inverted_index":{"Finger":[0],"vein":[1,9,26,161],"recognition":[2,27],"is":[3,19,57,102,125],"a":[4,24,36,61,74,105,110,119,133],"biometric":[5],"method":[6],"utilizing":[7],"the":[8,20,30,46,81,84,97,107,113,130,138,145,154,184,191],"patterns":[10],"inside":[11],"one's":[12],"fingers":[13],"for":[14,64],"personal":[15],"identification.":[16],"Recognition":[17],"algorithm":[18,101,124,170],"key":[21],"part":[22],"of":[23,38,45,76,156,193],"finger":[25,160],"system,":[28],"dominating":[29],"system":[31,52,146],"performance.":[32],"There":[33],"are":[34,176],"usually":[35],"lot":[37,111],"parameters":[39,47,82],"in":[40,67,118,135,159],"algorithms,":[41],"and":[42,171,179],"different":[43,51,128],"values":[44],"could":[48],"lead":[49],"to":[50,59,78,182],"performance":[53,85,108,131,147],"so":[54],"that":[55,143],"it":[56],"essential":[58],"set":[60,75],"proper":[62],"value":[63,115,141],"each":[65],"parameter":[66,114,140,157],"practice.":[68],"In":[69],"this":[70,164],"paper,":[71],"we":[72],"conduct":[73],"experiments":[77],"study":[79],"how":[80],"influence":[83],"measured":[86],"by":[87,173],"equal":[88],"error":[89],"rate.":[90],"We":[91],"have":[92],"made":[93],"two":[94,151,167],"observations":[95,152],"from":[96],"results:":[98],"1.When":[99],"an":[100,123],"applied":[103,126],"on":[104,127],"dataset,":[106],"differs":[109,132,148],"as":[112],"changes":[116],"even":[117],"small":[120],"range;":[121],"2.When":[122],"datasets,":[129],"lot,":[134],"other":[136],"words,":[137],"optimized":[139],"combination":[142],"maximizes":[144],"significantly.":[149],"These":[150],"reveal":[153],"importance":[155],"adjustment":[158],"recognition.":[162],"So":[163],"paper":[165],"proposes":[166],"solutions:":[168],"search":[169],"estimation":[172],"subset,":[174],"which":[175],"fast,":[177],"accurate":[178],"scalable":[180],"methods":[181],"find":[183],"best":[185],"parameters.":[186],"The":[187],"experiment":[188],"results":[189],"prove":[190],"effectiveness":[192],"our":[194],"methods.":[195]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
