{"id":"https://openalex.org/W4412489598","doi":"https://doi.org/10.1109/tip.2025.3588040","title":"Robust Palmprint Recognition via Multi-Stage Noisy Label Selection and Correction","display_name":"Robust Palmprint Recognition via Multi-Stage Noisy Label Selection and Correction","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412489598","doi":"https://doi.org/10.1109/tip.2025.3588040","pmid":"https://pubmed.ncbi.nlm.nih.gov/40668719"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3588040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3588040","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5062833517","display_name":"Huikai Shao","orcid":"https://orcid.org/0000-0001-9970-1576"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huikai Shao","raw_affiliation_strings":["School of Automation Science and Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0001-9970-1576","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032705325","display_name":"Siyu Shi","orcid":"https://orcid.org/0000-0001-9010-7431"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyu Shi","raw_affiliation_strings":["School of Automation Science and Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001001983","display_name":"Xuefeng Du","orcid":"https://orcid.org/0000-0002-8080-7861"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xuefeng Du","raw_affiliation_strings":["College of Computing and Data Science (CCDS), Nanyang Technological University, Jurong West, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computing and Data Science (CCDS), Nanyang Technological University, Jurong West, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023724461","display_name":"Dan Zeng","orcid":"https://orcid.org/0000-0003-1300-1769"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Zeng","raw_affiliation_strings":["School of Artificial Intelligence, Sun Yat-sen University, Zhuhai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Sun Yat-sen University, Zhuhai, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020071899","display_name":"Dexing Zhong","orcid":"https://orcid.org/0000-0002-6806-6300"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dexing Zhong","raw_affiliation_strings":["School of Automation Science and Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-6806-6300","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5062833517"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":3.8259,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.93559617,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"34","issue":null,"first_page":"4591","last_page":"4601"},"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/T11448","display_name":"Face recognition and analysis","score":0.9965999722480774,"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/T10057","display_name":"Face and Expression Recognition","score":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8103204965591431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7875640988349915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7437807321548462},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6354629993438721},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.49504581093788147},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.47337812185287476},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4460655748844147},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4205547571182251},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4120739996433258},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16608187556266785}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8103204965591431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7875640988349915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7437807321548462},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6354629993438721},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.49504581093788147},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.47337812185287476},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4460655748844147},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4205547571182251},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4120739996433258},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16608187556266785},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2025.3588040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3588040","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:40668719","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40668719","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5600000023841858}],"awards":[{"id":"https://openalex.org/G2180246023","display_name":null,"funder_award_id":"2024GX-YBXM-158","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"},{"id":"https://openalex.org/G2569360559","display_name":null,"funder_award_id":"62376211","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3587630405","display_name":null,"funder_award_id":"62206218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7773119484","display_name":null,"funder_award_id":"xzy012023061","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336350","display_name":"Key Research and Development Projects of Shaanxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W2063424920","https://openalex.org/W2138621090","https://openalex.org/W2144025519","https://openalex.org/W2160776381","https://openalex.org/W2606063865","https://openalex.org/W2908401002","https://openalex.org/W2962898354","https://openalex.org/W2963775347","https://openalex.org/W2963976704","https://openalex.org/W3013142319","https://openalex.org/W3042609801","https://openalex.org/W3080350283","https://openalex.org/W3107129517","https://openalex.org/W3123372968","https://openalex.org/W3138861208","https://openalex.org/W3163682380","https://openalex.org/W3166898278","https://openalex.org/W3183864931","https://openalex.org/W3193957345","https://openalex.org/W4221161368","https://openalex.org/W4280579565","https://openalex.org/W4285177866","https://openalex.org/W4285226733","https://openalex.org/W4287947470","https://openalex.org/W4312430254","https://openalex.org/W4312829490","https://openalex.org/W4317935312","https://openalex.org/W4319300592","https://openalex.org/W4319459920","https://openalex.org/W4319997133","https://openalex.org/W4381736331","https://openalex.org/W4385525529","https://openalex.org/W4386071642","https://openalex.org/W4387934883","https://openalex.org/W4389252434","https://openalex.org/W4390873377","https://openalex.org/W4390874693","https://openalex.org/W4392251497","https://openalex.org/W4393160581","https://openalex.org/W4393315296","https://openalex.org/W4393906132","https://openalex.org/W4396941552","https://openalex.org/W4399401308","https://openalex.org/W4399456196","https://openalex.org/W4399563735","https://openalex.org/W4401442103","https://openalex.org/W4401508170","https://openalex.org/W4402259759","https://openalex.org/W4402660120","https://openalex.org/W4402753753","https://openalex.org/W4403791501","https://openalex.org/W4404317088","https://openalex.org/W4404437411","https://openalex.org/W4408352548","https://openalex.org/W4409601234","https://openalex.org/W6758632346","https://openalex.org/W6771630921","https://openalex.org/W6775613530","https://openalex.org/W6809952419","https://openalex.org/W6846267422","https://openalex.org/W6862460277","https://openalex.org/W7024389152"],"related_works":["https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W2488129135","https://openalex.org/W4312219546","https://openalex.org/W2377538627","https://openalex.org/W2107220315","https://openalex.org/W1996690921"],"abstract_inverted_index":{"Deep":[0],"learning-based":[1],"palmprint":[2,70,132],"recognition":[3],"methods":[4,14,144],"take":[5],"performance":[6],"to":[7,25,57,65,87,120,163],"the":[8,33,67,103,110,122,137,153,156],"next":[9],"level.":[10],"However,":[11],"most":[12],"current":[13],"rely":[15],"on":[16,79,127],"samples":[17,74,105],"with":[18,147,152],"clean":[19,89,116],"labels.":[20,170],"Noisy":[21,50],"labels":[22,101,119],"are":[23,63,75,125,167],"difficult":[24],"avoid":[26],"in":[27,145],"practical":[28],"applications":[29],"and":[30,53,106,117,130],"may":[31],"affect":[32],"reliability":[34],"of":[35,69,139],"models,":[36],"which":[37],"poses":[38],"a":[39,47],"big":[40],"challenge.":[41],"In":[42],"this":[43,59],"paper,":[44],"we":[45],"propose":[46],"novel":[48],"Multi-stage":[49],"Label":[51],"Selection":[52],"Correction":[54],"(MNLSC)":[55],"framework":[56],"address":[58],"issue.":[60],"Three":[61],"stages":[62],"proposed":[64],"improve":[66,121],"robustness":[68],"recognition.":[71],"Clean":[72],"simple":[73],"firstly":[76],"selected":[77],"based":[78],"self-supervised":[80],"learning.":[81],"A":[82,92],"Fourier-based":[83],"module":[84,94],"is":[85,95,112],"constructed":[86],"select":[88],"hard":[90],"samples.":[91],"pototype-based":[93],"further":[96],"introduced":[97],"for":[98],"selecting":[99],"noisy":[100,169],"from":[102],"remaining":[104],"correcting":[107],"them.":[108],"Finally,":[109],"model":[111],"trained":[113],"by":[114,161],"using":[115],"corrected":[118],"performance.":[123],"Experiments":[124],"conducted":[126],"several":[128],"constrained":[129],"unconstrained":[131],"databases.":[133],"The":[134],"results":[135],"demonstrate":[136],"superiority":[138],"our":[140],"method":[141],"over":[142],"other":[143],"dealing":[146],"different":[148],"noise":[149],"rates.":[150],"Compared":[151],"baseline":[154],"method,":[155],"accuracy":[157],"can":[158],"be":[159],"improved":[160],"up":[162],"33.45%":[164],"when":[165],"there":[166],"60%":[168]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
