{"id":"https://openalex.org/W4205677231","doi":"https://doi.org/10.1007/s11760-021-02058-2","title":"Multi-feature fusion partitioned local binary pattern method for finger vein recognition","display_name":"Multi-feature fusion partitioned local binary pattern method for finger vein recognition","publication_year":2022,"publication_date":"2022-01-20","ids":{"openalex":"https://openalex.org/W4205677231","doi":"https://doi.org/10.1007/s11760-021-02058-2"},"language":"en","primary_location":{"id":"doi:10.1007/s11760-021-02058-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11760-021-02058-2","pdf_url":null,"source":{"id":"https://openalex.org/S156904493","display_name":"Signal Image and Video Processing","issn_l":"1863-1703","issn":["1863-1703","1863-1711"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal, Image and Video Processing","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/A5103074756","display_name":"Zhongxia Zhang","orcid":"https://orcid.org/0000-0002-5813-5763"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongxia Zhang","raw_affiliation_strings":["School of Mathematics at Southwest, Jiaotong University, Chengdu, 610031, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics at Southwest, Jiaotong University, Chengdu, 610031, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037336422","display_name":"Mingwen Wang","orcid":"https://orcid.org/0000-0003-2830-0147"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingwen Wang","raw_affiliation_strings":["School of Mathematics at Southwest, Jiaotong University, Chengdu, 610031, China"],"raw_orcid":"https://orcid.org/0000-0003-2830-0147","affiliations":[{"raw_affiliation_string":"School of Mathematics at Southwest, Jiaotong University, Chengdu, 610031, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":4.3108,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.95114631,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"16","issue":"4","first_page":"1091","last_page":"1099"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9459999799728394,"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/T14333","display_name":"Dermatoglyphics and Human Traits","score":0.930899977684021,"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/local-binary-patterns","display_name":"Local binary patterns","score":0.8455618619918823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.768036961555481},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7282352447509766},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6408955454826355},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5966089963912964},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5905041098594666},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5595488548278809},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4948346018791199},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.4886522591114044},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45241332054138184},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.43236085772514343},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2416176199913025}],"concepts":[{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.8455618619918823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.768036961555481},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7282352447509766},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6408955454826355},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5966089963912964},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5905041098594666},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5595488548278809},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4948346018791199},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.4886522591114044},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45241332054138184},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.43236085772514343},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2416176199913025},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11760-021-02058-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11760-021-02058-2","pdf_url":null,"source":{"id":"https://openalex.org/S156904493","display_name":"Signal Image and Video Processing","issn_l":"1863-1703","issn":["1863-1703","1863-1711"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal, Image and Video Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6799093451","display_name":null,"funder_award_id":"11701478","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W34937552","https://openalex.org/W67396794","https://openalex.org/W1589574887","https://openalex.org/W1969363409","https://openalex.org/W1991620112","https://openalex.org/W1997175872","https://openalex.org/W2003703826","https://openalex.org/W2004617923","https://openalex.org/W2039051707","https://openalex.org/W2039536345","https://openalex.org/W2044321590","https://openalex.org/W2052131938","https://openalex.org/W2053010053","https://openalex.org/W2056024773","https://openalex.org/W2063667416","https://openalex.org/W2078810896","https://openalex.org/W2084609952","https://openalex.org/W2097418325","https://openalex.org/W2102780391","https://openalex.org/W2116476456","https://openalex.org/W2142704643","https://openalex.org/W2153736577","https://openalex.org/W2526468814","https://openalex.org/W2552954853","https://openalex.org/W2569747121","https://openalex.org/W2614723326","https://openalex.org/W2618256924","https://openalex.org/W2747005997","https://openalex.org/W2770331144","https://openalex.org/W3003656584","https://openalex.org/W3030822238","https://openalex.org/W3094241136"],"related_works":["https://openalex.org/W2181817726","https://openalex.org/W2990472155","https://openalex.org/W3024593842","https://openalex.org/W2060518359","https://openalex.org/W3003836766","https://openalex.org/W2537156416","https://openalex.org/W2855870609","https://openalex.org/W2005771019","https://openalex.org/W2486556835","https://openalex.org/W2550539038"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}