{"id":"https://openalex.org/W4319997133","doi":"https://doi.org/10.1109/tsmc.2022.3233392","title":"Learning Spectrum-Invariance Representation for Cross-Spectral Palmprint Recognition","display_name":"Learning Spectrum-Invariance Representation for Cross-Spectral Palmprint Recognition","publication_year":2023,"publication_date":"2023-01-18","ids":{"openalex":"https://openalex.org/W4319997133","doi":"https://doi.org/10.1109/tsmc.2022.3233392"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2022.3233392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2022.3233392","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/A5101726684","display_name":"Lunke Fei","orcid":"https://orcid.org/0000-0001-6072-7875"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lunke Fei","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026796400","display_name":"Wai Keung Wong","orcid":"https://orcid.org/0000-0002-5214-7114"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wai Keung Wong","raw_affiliation_strings":["School of Fashion and Textiles and Laboratory for Artificial Intelligence in Design, The Hong Kong Polytechnic University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"School of Fashion and Textiles and Laboratory for Artificial Intelligence in Design, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006822798","display_name":"Shuping Zhao","orcid":"https://orcid.org/0000-0001-7641-2237"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuping Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017617923","display_name":"Jie Wen","orcid":"https://orcid.org/0000-0001-9554-2379"},"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":"Jie Wen","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"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/A5088444199","display_name":"Jian Zhu","orcid":"https://orcid.org/0000-0002-2551-2024"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhu","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100359961","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0003-0530-2123"},"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":"Yong Xu","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"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/A5101726684"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":4.7654,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.96001984,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"53","issue":"6","first_page":"3868","last_page":"3879"},"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/T10057","display_name":"Face and Expression Recognition","score":0.968500018119812,"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/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9599000215530396,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7723903656005859},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7605346441268921},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6672037839889526},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6506092548370361},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6404138207435608},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5397894978523254},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49795079231262207},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49563372135162354},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.4626098573207855},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4536806643009186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3411024510860443}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7723903656005859},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7605346441268921},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6672037839889526},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6506092548370361},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6404138207435608},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5397894978523254},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49795079231262207},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49563372135162354},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.4626098573207855},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4536806643009186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3411024510860443},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2022.3233392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2022.3233392","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":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G2373972662","display_name":null,"funder_award_id":"62006059","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4253799827","display_name":null,"funder_award_id":"62106052","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5476459921","display_name":null,"funder_award_id":"62176066","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7687306671","display_name":null,"funder_award_id":"2022M710827","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1413778154","https://openalex.org/W1491778359","https://openalex.org/W1616262590","https://openalex.org/W1686810756","https://openalex.org/W1970913757","https://openalex.org/W1989069076","https://openalex.org/W2002747721","https://openalex.org/W2004169362","https://openalex.org/W2034114524","https://openalex.org/W2049306082","https://openalex.org/W2103339782","https://openalex.org/W2103729193","https://openalex.org/W2114214092","https://openalex.org/W2134909771","https://openalex.org/W2144025519","https://openalex.org/W2160776381","https://openalex.org/W2265356345","https://openalex.org/W2346392537","https://openalex.org/W2383346883","https://openalex.org/W2588729078","https://openalex.org/W2590822257","https://openalex.org/W2606063865","https://openalex.org/W2615293002","https://openalex.org/W2789377834","https://openalex.org/W2794673239","https://openalex.org/W2801793565","https://openalex.org/W2809299793","https://openalex.org/W2888620059","https://openalex.org/W2908401002","https://openalex.org/W2921595296","https://openalex.org/W2922191826","https://openalex.org/W2940740645","https://openalex.org/W2946300279","https://openalex.org/W2962789801","https://openalex.org/W2963521811","https://openalex.org/W2966065417","https://openalex.org/W2997561079","https://openalex.org/W3003465473","https://openalex.org/W3015646845","https://openalex.org/W3035552820","https://openalex.org/W3102431071","https://openalex.org/W3105847166","https://openalex.org/W3110144845","https://openalex.org/W3114381249","https://openalex.org/W3123372968","https://openalex.org/W3137157783","https://openalex.org/W3207211939","https://openalex.org/W4212961182","https://openalex.org/W4220929574","https://openalex.org/W4243097765","https://openalex.org/W6637373629","https://openalex.org/W6683721463","https://openalex.org/W6795521230"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W1544811710","https://openalex.org/W2153315159","https://openalex.org/W2124951708","https://openalex.org/W3103844505","https://openalex.org/W156213964"],"abstract_inverted_index":{"Palmprint":[0],"recognition":[1,75,177],"provides":[2],"a":[3,67,108,124],"potential":[4],"solution":[5],"for":[6,72],"noninvasive":[7],"personal":[8],"authentication":[9],"due":[10],"to":[11,43,76,99,115,160,174,181],"its":[12,53],"excellent":[13],"contactless":[14],"property":[15],"and":[16,18,40,49,82],"user-security,":[17],"it":[19,172],"has":[20],"attracted":[21],"tremendous":[22],"research":[23],"interest":[24],"in":[25,56,128],"recent":[26],"years.":[27],"However,":[28],"most":[29],"existing":[30],"methods":[31],"focus":[32],"on":[33,186,200],"intraspectral":[34],"palmprint":[35,74,105,121,169,176,189,202],"recognition,":[36],"which":[37,129],"requires":[38],"gallery":[39,81],"probe":[41,83],"images":[42,122,150],"be":[44,157],"captured":[45,86],"under":[46,87],"similar":[47],"illumination,":[48],"thus":[50],"significantly":[51],"limit":[52],"practical":[54],"applications":[55],"open":[57],"environments":[58],"with":[59],"variant":[60],"illuminations.":[61],"In":[62],"this":[63],"study,":[64],"we":[65],"present":[66],"spectrum-invariant":[68,164],"feature":[69,110,126],"learning":[70],"method":[71,155,199],"cross-spectral":[73,201],"address":[77],"the":[78,91,101,130,143,162,193,197],"problem":[79],"that":[80],"samples":[84],"are":[85,97,151],"different":[88,118,131,148],"spectra.":[89,183],"First,":[90],"blockwise":[92],"direction-based":[93],"ordinal":[94],"measure":[95],"vectors":[96],"formed":[98],"represent":[100],"intrinsic":[102],"information":[103],"of":[104,120,166,196],"images.":[106],"Then,":[107],"unified":[109,163],"projection":[111],"is":[112],"jointly":[113],"learned":[114,146],"map":[116],"two":[117,187],"spectra":[119],"into":[123],"common":[125],"space,":[127],"spectral":[132,149,168],"features":[133,145],"have":[134],"enhanced":[135],"discriminative":[136],"power":[137],"by":[138],"enlarging":[139],"their":[140],"variances":[141],"while":[142],"intraclass":[144],"from":[147],"similar.":[152],"The":[153],"proposed":[154,198],"can":[156],"easily":[158],"extended":[159],"seek":[161],"representation":[165],"multiple":[167,182],"images,":[170],"making":[171],"feasible":[173],"perform":[175],"crossing":[178],"one":[179],"spectrum":[180],"Experimental":[184],"results":[185],"multispectral":[188],"image":[190],"databases":[191],"demonstrate":[192],"promising":[194],"effectiveness":[195],"recognition.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
