{"id":"https://openalex.org/W3123372968","doi":"https://doi.org/10.1109/tim.2021.3053991","title":"Deep Distillation Hashing for Unconstrained Palmprint Recognition","display_name":"Deep Distillation Hashing for Unconstrained Palmprint Recognition","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3123372968","doi":"https://doi.org/10.1109/tim.2021.3053991","mag":"3123372968"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2021.3053991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3053991","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/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\u2019an Jiaotong University, Xi\u2019an, China","School of Automation Science and Engineering, Xi'an Jiaotong University, Xi'an, China"],"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":["Pazhou Lab, Guangzhou, China","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"],"affiliations":[{"raw_affiliation_string":"Pazhou Lab, Guangzhou, China","institution_ids":[]},{"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/A5001001983","display_name":"Xuefeng Du","orcid":"https://orcid.org/0000-0002-8080-7861"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuefeng Du","raw_affiliation_strings":["University of Wisconsin\u2013Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin\u2013Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062833517"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":5.8481,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.97027045,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"13"},"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":0.9955000281333923,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9939000010490417,"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/computer-science","display_name":"Computer science","score":0.8012402057647705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6918754577636719},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6473824977874756},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6402596235275269},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5401886701583862},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5363366007804871},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.4895068407058716},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.46508023142814636},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4337928891181946},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.42821377515792847},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42765042185783386},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.425723671913147},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3289244771003723}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8012402057647705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6918754577636719},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6473824977874756},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6402596235275269},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5401886701583862},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5363366007804871},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.4895068407058716},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.46508023142814636},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4337928891181946},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.42821377515792847},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42765042185783386},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.425723671913147},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3289244771003723},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2021.3053991","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3053991","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G3385834500","display_name":null,"funder_award_id":"xzy022020051","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"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":null,"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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":85,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1690739335","https://openalex.org/W1814328102","https://openalex.org/W1821462560","https://openalex.org/W1923967535","https://openalex.org/W1951304353","https://openalex.org/W1974900975","https://openalex.org/W1995519336","https://openalex.org/W2010954356","https://openalex.org/W2013491563","https://openalex.org/W2034114524","https://openalex.org/W2035647105","https://openalex.org/W2064555661","https://openalex.org/W2066730687","https://openalex.org/W2084237998","https://openalex.org/W2103729193","https://openalex.org/W2126562928","https://openalex.org/W2140959843","https://openalex.org/W2144025519","https://openalex.org/W2149933564","https://openalex.org/W2159577413","https://openalex.org/W2267635276","https://openalex.org/W2468064467","https://openalex.org/W2508837377","https://openalex.org/W2518263381","https://openalex.org/W2548447358","https://openalex.org/W2578457868","https://openalex.org/W2592335154","https://openalex.org/W2606063865","https://openalex.org/W2614311475","https://openalex.org/W2615293002","https://openalex.org/W2620727906","https://openalex.org/W2738649458","https://openalex.org/W2739879705","https://openalex.org/W2750784772","https://openalex.org/W2769324646","https://openalex.org/W2803937589","https://openalex.org/W2824186846","https://openalex.org/W2884006160","https://openalex.org/W2886756692","https://openalex.org/W2887783173","https://openalex.org/W2888620059","https://openalex.org/W2908401002","https://openalex.org/W2921595296","https://openalex.org/W2922191826","https://openalex.org/W2936864631","https://openalex.org/W2940927497","https://openalex.org/W2946300279","https://openalex.org/W2947147187","https://openalex.org/W2954901156","https://openalex.org/W2963140444","https://openalex.org/W2963468606","https://openalex.org/W2964005298","https://openalex.org/W2964118293","https://openalex.org/W2964158883","https://openalex.org/W2966065417","https://openalex.org/W2967716061","https://openalex.org/W2973858765","https://openalex.org/W2975173965","https://openalex.org/W2990686905","https://openalex.org/W2998272328","https://openalex.org/W2999529733","https://openalex.org/W3006654643","https://openalex.org/W3016001163","https://openalex.org/W3022425438","https://openalex.org/W3099940802","https://openalex.org/W3103722964","https://openalex.org/W3109689953","https://openalex.org/W4240108565","https://openalex.org/W4243097765","https://openalex.org/W4295262505","https://openalex.org/W4299518610","https://openalex.org/W6637373629","https://openalex.org/W6637551013","https://openalex.org/W6638523313","https://openalex.org/W6638523607","https://openalex.org/W6640412524","https://openalex.org/W6678682734","https://openalex.org/W6682132143","https://openalex.org/W6693397755","https://openalex.org/W6725199262","https://openalex.org/W6740745780","https://openalex.org/W6743188669","https://openalex.org/W6765492279","https://openalex.org/W6776491973"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2076845124","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2183964146","https://openalex.org/W2379932303","https://openalex.org/W2130974462","https://openalex.org/W2095239294","https://openalex.org/W3147744369","https://openalex.org/W2028665553"],"abstract_inverted_index":{"Deep":[0],"palmprint":[1,23,51,71,126,178,185,201],"recognition":[2,24,52],"has":[3,40,95],"become":[4],"an":[5,90],"emerging":[6],"issue":[7],"with":[8,99],"great":[9],"potential":[10,214],"for":[11,103,123],"personal":[12],"authentication":[13],"on":[14,28,165,173],"handheld":[15],"and":[16,45,176,194,218],"wearable":[17],"consumer":[18],"devices.":[19],"Previous":[20],"studies":[21],"of":[22,63,77,87,106,139,162,184,200,215],"are":[25,54,130,150,171],"mainly":[26],"based":[27],"constrained":[29,175],"data":[30,231],"sets":[31],"collected":[32,83,230],"by":[33,84,190,206],"dedicated":[34],"devices":[35],"in":[36,89],"controlled":[37],"environments,":[38],"which":[39,75],"to":[41,58,132,135,152,157,192,208,224],"reduce":[42],"the":[43,60,104,137,154,160,166,182,195,213,226],"flexibility":[44],"convenience.":[46],"In":[47,66],"addition,":[48],"general":[49],"deep":[50,113,125,155],"algorithms":[53],"often":[55],"too":[56],"heavy":[57],"meet":[59],"real-time":[61],"requirements":[62],"embedded":[64],"system.":[65],"this":[67],"article,":[68],"a":[69,111,121],"new":[70,146],"benchmark":[72,122],"is":[73,118,233],"established,":[74],"consists":[76],"more":[78],"than":[79],"20":[80],"000":[81],"images":[82,129],"five":[85],"brands":[86],"smartphones":[88],"unconstrained":[91,177],"manner.":[92],"Each":[93],"image":[94],"been":[96],"manually":[97],"labeled":[98],"14":[100],"key":[101],"points":[102],"region":[105],"interest":[107],"(ROI)":[108],"extraction.":[109],"Furthermore,":[110],"novel":[112],"distillation":[114,147],"hashing":[115],"(DDH)":[116],"algorithm":[117],"proposed":[119],"as":[120],"efficient":[124],"recognition.":[127],"Palmprint":[128],"converted":[131],"binary":[133],"codes":[134],"improve":[136,159],"efficiency":[138,161],"feature":[140,163],"matching.":[141],"Derived":[142],"from":[143],"knowledge":[144],"distillation,":[145],"loss":[148],"functions":[149],"constructed":[151],"compress":[153],"model":[156],"further":[158],"extraction":[164],"light":[167],"network.":[168],"Comprehensive":[169],"experiments":[170],"conducted":[172],"both":[174],"databases.":[179],"Using":[180],"DDH,":[181],"accuracy":[183],"identification":[186],"can":[187,203,220],"be":[188,204],"increased":[189],"up":[191,207],"11.37%,":[193],"equal":[196],"error":[197],"rate":[198],"(EER)":[199],"verification":[202],"reduced":[205],"3.11%.":[209],"The":[210,229],"results":[211],"indicate":[212],"our":[216],"database,":[217],"DDH":[219],"outperform":[221],"other":[222],"baselines":[223],"achieve":[225],"state-of-the-art":[227],"performance.":[228],"set":[232],"publicly":[234],"available":[235],"at":[236],"http://gr.xjtu.edu.cn/web/bell/resource.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":9}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
