{"id":"https://openalex.org/W3036251674","doi":"https://doi.org/10.1109/tbiom.2020.3003406","title":"Boosting Unconstrained Palmprint Recognition With Adversarial Metric Learning","display_name":"Boosting Unconstrained Palmprint Recognition With Adversarial Metric Learning","publication_year":2020,"publication_date":"2020-06-18","ids":{"openalex":"https://openalex.org/W3036251674","doi":"https://doi.org/10.1109/tbiom.2020.3003406","mag":"3036251674"},"language":"en","primary_location":{"id":"doi:10.1109/tbiom.2020.3003406","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbiom.2020.3003406","pdf_url":null,"source":{"id":"https://openalex.org/S4210209367","display_name":"IEEE Transactions on Biometrics Behavior and Identity Science","issn_l":"2637-6407","issn":["2637-6407"],"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 Biometrics, Behavior, and Identity Science","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/A5101599454","display_name":"Jinsong Zhu","orcid":"https://orcid.org/0000-0002-3627-5239"},"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":"Jinsong Zhu","raw_affiliation_strings":["School of Automation Science and Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Automation Science and Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-3627-5239","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Automation Science and Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","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"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dexing Zhong","raw_affiliation_strings":["School of Automation Science and Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","School of Automation Science and Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-6806-6300","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"School of Automation Science and Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052688673","display_name":"Kai Luo","orcid":"https://orcid.org/0000-0002-6433-905X"},"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":"Kai Luo","raw_affiliation_strings":["School of Automation Science and Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Automation Science and Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Automation Science and Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.129,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.87966345,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2","issue":"4","first_page":"388","last_page":"398"},"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/T11448","display_name":"Face recognition and analysis","score":0.9976000189781189,"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/T10751","display_name":"Forensic and Genetic Research","score":0.9498999714851379,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6897406578063965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.644201934337616},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6080586910247803},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6036179065704346},{"id":"https://openalex.org/keywords/hypersphere","display_name":"Hypersphere","score":0.5569630265235901},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.5457051396369934},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5205855965614319},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.49257856607437134},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44630712270736694},{"id":"https://openalex.org/keywords/metric-space","display_name":"Metric space","score":0.444408655166626},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4382500648498535},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43104642629623413},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22003376483917236},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12127161026000977}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6897406578063965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.644201934337616},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6080586910247803},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6036179065704346},{"id":"https://openalex.org/C2776562905","wikidata":"https://www.wikidata.org/wiki/Q306610","display_name":"Hypersphere","level":2,"score":0.5569630265235901},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.5457051396369934},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5205855965614319},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.49257856607437134},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44630712270736694},{"id":"https://openalex.org/C198043062","wikidata":"https://www.wikidata.org/wiki/Q180953","display_name":"Metric space","level":2,"score":0.444408655166626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4382500648498535},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43104642629623413},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22003376483917236},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12127161026000977},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbiom.2020.3003406","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbiom.2020.3003406","pdf_url":null,"source":{"id":"https://openalex.org/S4210209367","display_name":"IEEE Transactions on Biometrics Behavior and Identity Science","issn_l":"2637-6407","issn":["2637-6407"],"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 Biometrics, Behavior, and Identity Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5843997880","display_name":null,"funder_award_id":"LGF19F030002","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G7187236866","display_name":"\u57fa\u4e8e\u7a00\u758f\u56fe\u5d4c\u5165\u7684\u56fe\u50cf\u7279\u5f81\u63d0\u53d6\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61105021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G761679868","display_name":null,"funder_award_id":"2020JM-073","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324173","display_name":"Natural Science Foundation of Shaanxi Province","ror":null},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W1413778154","https://openalex.org/W1608530935","https://openalex.org/W1686810756","https://openalex.org/W1865468114","https://openalex.org/W1968113673","https://openalex.org/W1994564419","https://openalex.org/W2010954356","https://openalex.org/W2013491563","https://openalex.org/W2049306082","https://openalex.org/W2063424920","https://openalex.org/W2068424163","https://openalex.org/W2084496954","https://openalex.org/W2096733369","https://openalex.org/W2097117768","https://openalex.org/W2102181094","https://openalex.org/W2111410439","https://openalex.org/W2114214092","https://openalex.org/W2138621090","https://openalex.org/W2150102481","https://openalex.org/W2160776381","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2518263381","https://openalex.org/W2520774990","https://openalex.org/W2549139847","https://openalex.org/W2549858646","https://openalex.org/W2555897561","https://openalex.org/W2578183556","https://openalex.org/W2586899202","https://openalex.org/W2588880820","https://openalex.org/W2597845860","https://openalex.org/W2605655455","https://openalex.org/W2606063865","https://openalex.org/W2606611007","https://openalex.org/W2760126305","https://openalex.org/W2769324646","https://openalex.org/W2770115918","https://openalex.org/W2779066530","https://openalex.org/W2789377834","https://openalex.org/W2791437400","https://openalex.org/W2793387420","https://openalex.org/W2883595631","https://openalex.org/W2885563408","https://openalex.org/W2886676275","https://openalex.org/W2888620059","https://openalex.org/W2892064351","https://openalex.org/W2896239774","https://openalex.org/W2899444440","https://openalex.org/W2908401002","https://openalex.org/W2914672787","https://openalex.org/W2921595296","https://openalex.org/W2921789662","https://openalex.org/W2955488837","https://openalex.org/W2962723992","https://openalex.org/W2962835968","https://openalex.org/W2963026686","https://openalex.org/W2963271919","https://openalex.org/W2963988212","https://openalex.org/W2965109540","https://openalex.org/W2967716061","https://openalex.org/W2971218990","https://openalex.org/W2990686905","https://openalex.org/W2999529733","https://openalex.org/W3002157766","https://openalex.org/W3022425438","https://openalex.org/W3099206234","https://openalex.org/W4243097765","https://openalex.org/W4247180674","https://openalex.org/W6637373629","https://openalex.org/W6683721463","https://openalex.org/W6684191040","https://openalex.org/W6730323794","https://openalex.org/W6766488244"],"related_works":["https://openalex.org/W2099702253","https://openalex.org/W2059484267","https://openalex.org/W1970780628","https://openalex.org/W2069017679","https://openalex.org/W2142265066","https://openalex.org/W2014235090","https://openalex.org/W2787396923","https://openalex.org/W4301075504","https://openalex.org/W2963848714","https://openalex.org/W2886321183"],"abstract_inverted_index":{"With":[0],"great":[1],"potential":[2],"and":[3,84,132,146,152,191],"prospects":[4],"in":[5,15,43,54,66,73,81,135],"the":[6,16,31,58,69,74,90,136,142,156,166,175,181,192],"market,":[7],"palmprint":[8,36,99,172,182],"recognition":[9],"has":[10,185],"also":[11],"aroused":[12],"wide":[13],"concern":[14],"academic":[17],"community.":[18],"However,":[19],"there":[20],"are":[21,38,149],"yet":[22],"some":[23],"burning":[24],"issues":[25],"needed":[26],"to":[27,88,125,161,200],"be":[28],"explored.":[29],"On":[30,57],"one":[32],"hand,":[33],"most":[34,61],"public":[35],"databases":[37,173],"collected":[39,110],"with":[40],"exquisite":[41],"equipments":[42],"a":[44,96,186],"semi-closed":[45],"environment.":[46],"But":[47],"it":[48],"is":[49,195],"very":[50],"inconvenient":[51],"for":[52],"users":[53],"practical":[55],"application.":[56],"other":[59],"side,":[60],"deep":[62],"metric":[63,122,144],"learning":[64,123],"methods":[65],"literatures":[67],"ignore":[68],"distribution":[70],"of":[71,105,129,155,177,189],"palmprints":[72,130],"global":[75],"feature":[76],"space,":[77],"which":[78,103,159],"may":[79],"result":[80],"severe":[82],"locality":[83],"unbalance.":[85],"In":[86],"order":[87],"address":[89],"above":[91],"problems,":[92],"we":[93,118],"novelly":[94],"established":[95],"large-scale":[97],"unconstrained":[98],"database":[100],"called":[101],"XJTU-UP,":[102],"consists":[104],"more":[106],"than":[107],"20,000":[108],"images":[109],"by":[111,198],"5":[112],"different":[113,127],"mobile":[114],"phones.":[115],"Most":[116],"importantly,":[117],"proposed":[119],"an":[120],"adversarial":[121],"methodology":[124],"make":[126],"categories":[128],"uniformly":[131],"dispersedly":[133],"distributed":[134],"hypersphere":[137],"embedding":[138],"space.":[139],"Vividly":[140],"speaking,":[141],"joint":[143],"term":[145,148],"confusion":[147],"like":[150],"\u201cextensional":[151],"compressive":[153],"deformation":[154],"helical":[157],"springs\u201d,":[158],"encourages":[160],"learn":[162],"equidistributed":[163],"representations.":[164],"Finally,":[165],"experimental":[167],"outcomes":[168],"on":[169],"8":[170],"representative":[171],"unfold":[174],"superiority":[176],"our":[178],"algorithms":[179],"-":[180],"identification":[183],"accuracy":[184],"maximum":[187],"increase":[188],"4%":[190],"verification":[193],"performance":[194],"greatly":[196],"boosted":[197],"up":[199],"15%.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
