{"id":"https://openalex.org/W2911279874","doi":"https://doi.org/10.1109/access.2019.2894393","title":"Design of Low-Cost Personal Identification System That Uses Combined Palm Vein and Palmprint Biometric Features","display_name":"Design of Low-Cost Personal Identification System That Uses Combined Palm Vein and Palmprint Biometric Features","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2911279874","doi":"https://doi.org/10.1109/access.2019.2894393","mag":"2911279874"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2894393","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2894393","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08624254.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":null,"license_id":null,"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/ielx7/6287639/8600701/08624254.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100659434","display_name":"Peng Chen","orcid":"https://orcid.org/0000-0001-6122-0574"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Chen","raw_affiliation_strings":["College of Information and Engineering, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6122-0574","affiliations":[{"raw_affiliation_string":"College of Information and Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063467674","display_name":"Baojin Ding","orcid":"https://orcid.org/0000-0002-2149-2599"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baojin Ding","raw_affiliation_strings":["College of Information and Engineering, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439428","display_name":"Haixia Wang","orcid":"https://orcid.org/0000-0002-2378-2725"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixia Wang","raw_affiliation_strings":["College of Information and Engineering, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001531117","display_name":"Ronghua Liang","orcid":"https://orcid.org/0000-0003-2077-9608"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronghua Liang","raw_affiliation_strings":["College of Information and Engineering, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618240","display_name":"Yilong Zhang","orcid":"https://orcid.org/0000-0002-1510-5097"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilong Zhang","raw_affiliation_strings":["College of Information and Engineering, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101931356","display_name":"Wei Zhu","orcid":"https://orcid.org/0000-0002-5154-0889"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhu","raw_affiliation_strings":["College of Information and Engineering, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114130650","display_name":"Yipeng Liu","orcid":"https://orcid.org/0000-0002-5672-1144"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yipeng Liu","raw_affiliation_strings":["College of Information and Engineering, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100659434"],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.0052,"has_fulltext":true,"cited_by_count":31,"citation_normalized_percentile":{"value":0.91866699,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"15922","last_page":"15931"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9557999968528748,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9243000149726868,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7691271305084229},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7612087726593018},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6766188144683838},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6269783973693848},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5840098261833191},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4747222661972046},{"id":"https://openalex.org/keywords/palm-print","display_name":"Palm print","score":0.47341519594192505},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.44793686270713806}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7691271305084229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7612087726593018},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6766188144683838},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6269783973693848},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5840098261833191},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4747222661972046},{"id":"https://openalex.org/C2777503689","wikidata":"https://www.wikidata.org/wiki/Q7128108","display_name":"Palm print","level":3,"score":0.47341519594192505},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.44793686270713806}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2894393","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2894393","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08624254.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a7fa8b1aabd6429c9ea2260d1f8c8f2a","is_oa":true,"landing_page_url":"https://doaj.org/article/a7fa8b1aabd6429c9ea2260d1f8c8f2a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"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 7, Pp 15922-15931 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2894393","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2894393","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08624254.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3845624933","display_name":null,"funder_award_id":"61602414","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6018434090","display_name":null,"funder_award_id":"61527808","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/W2911279874.pdf","grobid_xml":"https://content.openalex.org/works/W2911279874.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1522107561","https://openalex.org/W1965137646","https://openalex.org/W1965520420","https://openalex.org/W1968517241","https://openalex.org/W1974821667","https://openalex.org/W1974900975","https://openalex.org/W1977815744","https://openalex.org/W2001352640","https://openalex.org/W2003289302","https://openalex.org/W2031337792","https://openalex.org/W2038122242","https://openalex.org/W2043229217","https://openalex.org/W2045146865","https://openalex.org/W2054432162","https://openalex.org/W2070110734","https://openalex.org/W2070204942","https://openalex.org/W2071311441","https://openalex.org/W2072072671","https://openalex.org/W2081479699","https://openalex.org/W2098093910","https://openalex.org/W2100706271","https://openalex.org/W2102544846","https://openalex.org/W2114214092","https://openalex.org/W2119416456","https://openalex.org/W2126562928","https://openalex.org/W2133059825","https://openalex.org/W2136461127","https://openalex.org/W2137233321","https://openalex.org/W2140952319","https://openalex.org/W2140959843","https://openalex.org/W2144025519","https://openalex.org/W2153361398","https://openalex.org/W2160815625","https://openalex.org/W2163605009","https://openalex.org/W2593330587","https://openalex.org/W2744268985","https://openalex.org/W2794284562","https://openalex.org/W2919115771","https://openalex.org/W2964291336","https://openalex.org/W6664581316","https://openalex.org/W6678682734","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W4212962537","https://openalex.org/W2898228808","https://openalex.org/W4283214017","https://openalex.org/W4241479212","https://openalex.org/W2144679583","https://openalex.org/W2789196996","https://openalex.org/W2095030957","https://openalex.org/W2066827917","https://openalex.org/W2601157893","https://openalex.org/W2373006798"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,29,33,122,152,177],"low-cost":[4,30],"personal":[5,192],"identification":[6,193],"system":[7,19,212],"that":[8,219],"uses":[9],"the":[10,47,61,76,87,94,99,129,147,158,170,173,221,237],"combined":[11,48,100],"palm":[12,49,77,108],"vein":[13,50,78,109,130],"and":[14,23,36,51,69,79,103,110,117,131,150,176,186,205,230],"palmprint":[15,52,111],"biometric":[16,53],"features.":[17],"The":[18,82,107,197],"consists":[20],"of":[21,60,67,86,128,172,189,220],"near-infrared":[22],"visible":[24],"light-emitting":[25],"diode":[26,88],"(LED)":[27],"arrays,":[28],"visual":[31],"sensor,":[32],"Xilinx":[34],"chip,":[35],"other":[37],"components.":[38],"A":[39,161],"real-time":[40,199],"image":[41,95,120,143],"quality":[42,96],"assessment":[43],"(IQA)":[44],"method":[45,201],"for":[46,126,146,157,168,184],"features":[54,171],"is":[55,90,166,182],"also":[56,226],"proposed.":[57],"Two":[58],"types":[59],"LED":[62],"with":[63,93,202],"central":[64],"frequency":[65],"spectra":[66],"890":[68],"680":[70],"nm":[71],"are":[72,113,195],"used":[73,183],"to":[74,141],"capture":[75],"palmprint,":[80],"respectively.":[81],"adaptive":[83],"feedback":[84],"control":[85],"brightness":[89],"in":[91,209],"accordance":[92],"assessed":[97],"by":[98],"2D":[101,105],"entropy":[102],"local":[104],"entropy.":[106],"images":[112],"acquired":[114,119],"nearly":[115],"simultaneously,":[116],"each":[118],"undergoes":[121],"few":[123],"preprocessing":[124],"steps":[125],"extraction":[127,207,240],"print":[132],"patterns.":[133],"We":[134],"use":[135],"an":[136],"image-level":[137],"wavelet-based":[138,154],"fusion":[139,155,203,223],"strategy":[140,156,204],"reduce":[142],"storage":[144],"requirement":[145],"embedded":[148],"platform":[149],"implement":[151],"complex":[153],"PC":[159],"platform.":[160],"deep":[162],"scattering":[163],"convolutional":[164],"network":[165],"applied":[167],"extracting":[169],"fused":[174],"images,":[175],"multi-class":[178],"support":[179],"vector":[180],"machine":[181],"training":[185],"recognition.":[187],"Characteristics":[188],"some":[190],"vision-based":[191],"systems":[194],"discussed.":[196],"proposed":[198],"IQA":[200],"feature":[206,239],"algorithm":[208],"our":[210],"prototype":[211],"has":[213],"substantially":[214],"less":[215,228],"operational":[216],"requirements":[217],"than":[218,236],"previous":[222],"strategies.":[224],"It":[225],"demands":[227],"memory":[229],"yields":[231],"lower":[232],"equal":[233],"error":[234],"rate":[235],"classical":[238],"algorithms.":[241]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
