{"id":"https://openalex.org/W4210849495","doi":"https://doi.org/10.1109/tsmc.2022.3146777","title":"Innovative Contactless Palmprint Recognition System Based on Dual-Camera Alignment","display_name":"Innovative Contactless Palmprint Recognition System Based on Dual-Camera Alignment","publication_year":2022,"publication_date":"2022-02-08","ids":{"openalex":"https://openalex.org/W4210849495","doi":"https://doi.org/10.1109/tsmc.2022.3146777"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2022.3146777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2022.3146777","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Systems, Man, and Cybernetics: Systems","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/A5100741493","display_name":"Xu Liang","orcid":"https://orcid.org/0000-0003-4332-3494"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Liang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-4332-3494","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011805208","display_name":"Zhaoqun Li","orcid":"https://orcid.org/0000-0003-3803-8314"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoqun Li","raw_affiliation_strings":["School of Data Science, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-3803-8314","affiliations":[{"raw_affiliation_string":"School of Data Science, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081068701","display_name":"Dandan Fan","orcid":"https://orcid.org/0000-0003-1168-5095"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dandan Fan","raw_affiliation_strings":["School of Data Science, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1168-5095","affiliations":[{"raw_affiliation_string":"School of Data Science, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048088901","display_name":"Bob Zhang","orcid":"https://orcid.org/0000-0003-2497-9519"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Bob Zhang","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0003-2497-9519","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030843117","display_name":"Guangming Lu","orcid":"https://orcid.org/0000-0003-1578-2634"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Lu","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1578-2634","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100325058","display_name":"David Zhang","orcid":"https://orcid.org/0000-0002-5027-5286"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"David Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-5027-5286","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100741493"],"corresponding_institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":4.6126,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.95597065,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"52","issue":"10","first_page":"6464","last_page":"6476"},"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/T11448","display_name":"Face recognition and analysis","score":0.9886000156402588,"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/T11866","display_name":"Reconstructive Facial Surgery Techniques","score":0.9656000137329102,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7866983413696289},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7326631546020508},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.680422306060791},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6402431726455688},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6233067512512207},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3998260796070099}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7866983413696289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7326631546020508},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.680422306060791},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6402431726455688},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6233067512512207},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3998260796070099},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2022.3146777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2022.3146777","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G1995094013","display_name":null,"funder_award_id":"JCYJ20170412170438636","funder_id":"https://openalex.org/F4320335803","funder_display_name":"Shenzhen Fundamental Research and Discipline Layout project"},{"id":"https://openalex.org/G5694134097","display_name":null,"funder_award_id":"JCYJ20210324132210025","funder_id":"https://openalex.org/F4320335803","funder_display_name":"Shenzhen Fundamental Research and Discipline Layout project"},{"id":"https://openalex.org/G5726720604","display_name":null,"funder_award_id":"62176077","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7423272494","display_name":null,"funder_award_id":"2019Bl515120055","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G8554603392","display_name":null,"funder_award_id":"62172347","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"},{"id":"https://openalex.org/F4320331102","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89"},{"id":"https://openalex.org/F4320335803","display_name":"Shenzhen Fundamental Research and Discipline Layout project","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1162253458","https://openalex.org/W1413778154","https://openalex.org/W1579191987","https://openalex.org/W1616262590","https://openalex.org/W1817805185","https://openalex.org/W1983367923","https://openalex.org/W2001759547","https://openalex.org/W2012448012","https://openalex.org/W2018340704","https://openalex.org/W2029184938","https://openalex.org/W2031180858","https://openalex.org/W2032794652","https://openalex.org/W2054942162","https://openalex.org/W2064711841","https://openalex.org/W2068424163","https://openalex.org/W2078767000","https://openalex.org/W2111933206","https://openalex.org/W2114214092","https://openalex.org/W2116966309","https://openalex.org/W2136161853","https://openalex.org/W2139208958","https://openalex.org/W2143628632","https://openalex.org/W2144025519","https://openalex.org/W2160776381","https://openalex.org/W2161925109","https://openalex.org/W2167667767","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2343721616","https://openalex.org/W2402475672","https://openalex.org/W2512703750","https://openalex.org/W2578183556","https://openalex.org/W2585863668","https://openalex.org/W2606063865","https://openalex.org/W2615293002","https://openalex.org/W2618530766","https://openalex.org/W2791437400","https://openalex.org/W2892064351","https://openalex.org/W2908401002","https://openalex.org/W2921419166","https://openalex.org/W2921595296","https://openalex.org/W2922191826","https://openalex.org/W2922511617","https://openalex.org/W2946300279","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2975173965","https://openalex.org/W2990686905","https://openalex.org/W2995595871","https://openalex.org/W2999653953","https://openalex.org/W3021342796","https://openalex.org/W3043692043","https://openalex.org/W3102431071","https://openalex.org/W3131302628","https://openalex.org/W3141355850","https://openalex.org/W3194214615","https://openalex.org/W4236020996","https://openalex.org/W4243097765","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Recently,":[0],"contactless":[1,75],"bimodal":[2,61,115],"palmprint":[3,26,33],"recognition":[4],"technology":[5],"has":[6],"attracted":[7],"increased":[8],"attention":[9],"due":[10],"to":[11,21,58,163,173,203],"the":[12,41,44,47,60,124,130,135,138,152,166,178,182,189,196,201,216,227,233],"COVID-19":[13],"pandemic.":[14],"Many":[15],"dual-camera-based":[16],"sensors":[17],"have":[18],"been":[19],"proposed":[20,121,179,217],"capture":[22],"palm":[23,35,62,76,116,144,153,170],"vein":[24,36],"and":[25,34,46,84,105,126,141,168,192,195,222,230,238],"images":[27,37],"synchronously.":[28],"However,":[29],"translations":[30],"between":[31,43,137],"captured":[32],"differ":[38],"depending":[39],"on":[40,123,151,188,232],"distance":[42],"hand":[45],"sensors.":[48],"To":[49],"address":[50],"this":[51,69,94],"issue,":[52],"we":[53,71,96,156],"designed":[54,157],"a":[55,74,81,85,98,114,158],"low-cost":[56],"method":[57,119],"align":[59],"regions":[63,145],"for":[64],"current":[65],"dual-camera":[66,82],"systems.":[67],"In":[68,225],"study,":[70],"first":[72],"implemented":[73],"image":[77,117],"acquisition":[78],"device":[79],"with":[80],"module":[83],"single-point":[86],"time":[87,198],"of":[88,200],"flight":[89],"(TOF)":[90],"ranging":[91,127],"sensor.":[92],"Using":[93],"device,":[95],"collected":[97],"dataset":[99,235],"named":[100],"DCPD":[101,193,234],"under":[102],"different":[103,111],"distances":[104],"light":[106,140,143],"source":[107],"intensities":[108],"from":[109],"271":[110],"palms.":[112],"Then,":[113],"alignment":[118],"is":[120,133,207],"based":[122,150],"imaging":[125],"models.":[128],"After":[129],"system":[131,202],"model":[132],"calibrated,":[134],"translation":[136],"visible":[139],"infrared":[142],"can":[146],"be":[147],"estimated":[148],"quickly":[149],"distance.":[154],"Finally,":[155],"convolutional":[159],"neural":[160],"network":[161],"(CNN)":[162],"effectively":[164],"extract":[165],"fine-":[167],"coarse-grained":[169],"features.":[171],"Compared":[172],"widely":[174],"used":[175],"existing":[176],"methods,":[177],"networks":[180],"achieved":[181,219],"lowest":[183],"equal":[184],"error":[185],"rate":[186],"(EER)":[187],"Tongji,":[190],"IITD,":[191],"datasets,":[194],"average":[197],"cost":[199],"perform":[204],"one-time":[205],"identification":[206],"approximately":[208],"0.15":[209],"s.":[210],"The":[211],"experimental":[212],"results":[213],"indicate":[214],"that":[215],"methods":[218],"high":[220],"efficiency":[221],"comparable":[223],"accuracy.":[224],"addition,":[226],"system\u2019s":[228],"EER":[229],"rank-1":[231],"were":[236],"0.304%":[237],"98.66%,":[239],"respectively.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
