{"id":"https://openalex.org/W4312829490","doi":"https://doi.org/10.1109/tnnls.2022.3227473","title":"Structure Suture Learning-Based Robust Multiview Palmprint Recognition","display_name":"Structure Suture Learning-Based Robust Multiview Palmprint Recognition","publication_year":2022,"publication_date":"2022-12-19","ids":{"openalex":"https://openalex.org/W4312829490","doi":"https://doi.org/10.1109/tnnls.2022.3227473","pmid":"https://pubmed.ncbi.nlm.nih.gov/37015591"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3227473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3227473","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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/A5006822798","display_name":"Shuping Zhao","orcid":"https://orcid.org/0000-0001-7641-2237"},"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":true,"raw_author_name":"Shuping Zhao","raw_affiliation_strings":["Department of Computer and Information Science, PAMI Research Group, University of Macau, Taipa, Macau, China"],"raw_orcid":"https://orcid.org/0000-0001-7641-2237","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, PAMI Research Group, University of Macau, Taipa, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","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":false,"raw_author_name":"Lunke Fei","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6072-7875","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/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":["Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9554-2379","affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"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, PAMI Research Group, University of Macau, Taipa, Macau, China"],"raw_orcid":"https://orcid.org/0000-0003-2497-9519","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, PAMI Research Group, University of Macau, Taipa, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069668655","display_name":"Pengyang Zhao","orcid":"https://orcid.org/0000-0002-7334-6139"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengyang Zhao","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7334-6139","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100638587","display_name":"Shuyi Li","orcid":"https://orcid.org/0000-0001-6264-9006"},"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":"Shuyi Li","raw_affiliation_strings":["Department of Computer and Information Science, PAMI Research Group, University of Macau, Taipa, Macau, China"],"raw_orcid":"https://orcid.org/0000-0001-6264-9006","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, PAMI Research Group, University of Macau, Taipa, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5006822798"],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":null,"apc_paid":null,"fwci":1.7855,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.85131755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"35","issue":"6","first_page":"8401","last_page":"8413"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9836000204086304,"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/T11448","display_name":"Face recognition and analysis","score":0.9821000099182129,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7644985914230347},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7490252256393433},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.686100423336029},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5641319751739502},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5639818906784058},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.4547925591468811},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43454355001449585},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4344554543495178}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7644985914230347},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7490252256393433},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.686100423336029},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5641319751739502},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5639818906784058},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.4547925591468811},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43454355001449585},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4344554543495178},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/tnnls.2022.3227473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3227473","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37015591","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37015591","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 neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7099999785423279}],"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/G5071687035","display_name":null,"funder_award_id":"MYRG2018-00053-FST","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"},{"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"},{"id":"https://openalex.org/F4320322841","display_name":"Universidade de Macau","ror":"https://ror.org/01r4q9n85"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1616262590","https://openalex.org/W1983577356","https://openalex.org/W2043080228","https://openalex.org/W2111410439","https://openalex.org/W2114214092","https://openalex.org/W2145962650","https://openalex.org/W2148082513","https://openalex.org/W2159171257","https://openalex.org/W2160776381","https://openalex.org/W2512703750","https://openalex.org/W2606063865","https://openalex.org/W2615293002","https://openalex.org/W2788125892","https://openalex.org/W2791459777","https://openalex.org/W2794208501","https://openalex.org/W2804448848","https://openalex.org/W2810034806","https://openalex.org/W2892064351","https://openalex.org/W2906217954","https://openalex.org/W2908401002","https://openalex.org/W2910410849","https://openalex.org/W2921595296","https://openalex.org/W2922191826","https://openalex.org/W2942266798","https://openalex.org/W2944163992","https://openalex.org/W2946300279","https://openalex.org/W2973099107","https://openalex.org/W2975173965","https://openalex.org/W3000566195","https://openalex.org/W3003465473","https://openalex.org/W3011374390","https://openalex.org/W3015245801","https://openalex.org/W3023700315","https://openalex.org/W3035552820","https://openalex.org/W3040429391","https://openalex.org/W3093660915","https://openalex.org/W3102431071","https://openalex.org/W3107129517","https://openalex.org/W3110863877","https://openalex.org/W3120689699","https://openalex.org/W3127215048","https://openalex.org/W3138042287","https://openalex.org/W3145005530","https://openalex.org/W3163682380","https://openalex.org/W3165208855","https://openalex.org/W3193546077","https://openalex.org/W3194214615","https://openalex.org/W3201922833","https://openalex.org/W4220675832","https://openalex.org/W4285132446","https://openalex.org/W4311593456","https://openalex.org/W4312238451","https://openalex.org/W4312973985","https://openalex.org/W6637373629","https://openalex.org/W6682644385"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2329500892","https://openalex.org/W2379932303","https://openalex.org/W3147744369","https://openalex.org/W4241440711","https://openalex.org/W2062586268","https://openalex.org/W2019582947","https://openalex.org/W3212688212","https://openalex.org/W4300873085"],"abstract_inverted_index":{"Low-quality":[0],"palmprint":[1,23,39,58,67,76,117,193],"images":[2],"will":[3],"degrade":[4],"the":[5,13,20,31,38,65,73,95,101,105,110,115,130,141,144,160,163,166,176,179,184],"recognition":[6,59,186],"performance,":[7],"when":[8],"they":[9],"are":[10],"captured":[11],"under":[12],"open,":[14],"unconstraint,":[15],"and":[16,104],"low-illumination":[17],"conditions.":[18],"Moreover,":[19],"traditional":[21],"single-view":[22],"representation":[24,77,118],"methods":[25],"have":[26,174],"been":[27],"difficult":[28],"to":[29,86],"express":[30],"characteristics":[32,40],"of":[33,109,143,165,178,191],"each":[34],"palm":[35],"strongly,":[36],"where":[37],"become":[41],"weak.":[42],"To":[43],"tackle":[44],"these":[45],"issues,":[46],"in":[47,136],"this":[48],"article,":[49],"we":[50],"propose":[51],"a":[52,81,124,138,189],"structure":[53,82,108,154],"suture":[54,83],"learning-based":[55],"robust":[56],"multiview":[57,75,111],"method":[60],"(SSL_RMPR),":[61],"which":[62],"comprehensively":[63],"presents":[64],"salient":[66],"features":[68],"from":[69],"multiple":[70],"views.":[71],"Unlike":[72],"existing":[74],"methods,":[78],"SSL_RMPR":[79,181],"introduces":[80],"learning":[84,133],"strategy":[85],"produce":[87],"an":[88],"elastic":[89],"nearest":[90],"neighbor":[91],"graph":[92],"(ENNG)":[93],"on":[94,188],"reconstruction":[96,126],"errors":[97],"that":[98,114,140],"simultaneously":[99],"exploit":[100],"label":[102],"information":[103],"latent":[106],"consensus":[107],"data,":[112],"such":[113,137],"discriminant":[116],"can":[119,147,168],"be":[120,148,169],"adaptively":[121],"enhanced.":[122],"Meanwhile,":[123],"low-rank":[125],"term":[127,156],"integrating":[128],"with":[129],"projection":[131,145],"matrix":[132,146],"is":[134,157],"proposed,":[135],"manner":[139],"robustness":[142],"improved.":[149],"Particularly,":[150],"since":[151],"no":[152],"extra":[153],"capture":[155],"imposed":[158],"into":[159],"proposed":[161,180],"model,":[162],"complexity":[164],"model":[167],"greatly":[170],"reduced.":[171],"Experimental":[172],"results":[173],"proven":[175],"superiority":[177],"by":[182],"achieving":[183],"best":[185],"performances":[187],"number":[190],"real-world":[192],"databases.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}