{"id":"https://openalex.org/W4391053018","doi":"https://doi.org/10.1142/s0129065724500205","title":"Enhanced Multitask Learning for Hash Code Generation of Palmprint Biometrics","display_name":"Enhanced Multitask Learning for Hash Code Generation of Palmprint Biometrics","publication_year":2024,"publication_date":"2024-01-20","ids":{"openalex":"https://openalex.org/W4391053018","doi":"https://doi.org/10.1142/s0129065724500205","pmid":"https://pubmed.ncbi.nlm.nih.gov/38414422"},"language":"en","primary_location":{"id":"doi:10.1142/s0129065724500205","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129065724500205","pdf_url":null,"source":{"id":"https://openalex.org/S197665576","display_name":"International Journal of Neural Systems","issn_l":"0129-0657","issn":["0129-0657","1793-6462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Neural 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/A5100443824","display_name":"Lin Chen","orcid":"https://orcid.org/0009-0006-1832-5550"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Chen","raw_affiliation_strings":["Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition, Nanchang Hangkong University, Nanchang, Jiangxi, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition, Nanchang Hangkong University, Nanchang, Jiangxi, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048351097","display_name":"Lu Leng","orcid":"https://orcid.org/0000-0001-6858-424X"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lu Leng","raw_affiliation_strings":["Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition, Nanchang Hangkong University, Nanchang, Jiangxi, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition, Nanchang Hangkong University, Nanchang, Jiangxi, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019886356","display_name":"Ziyuan Yang","orcid":"https://orcid.org/0000-0002-0275-4098"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyuan Yang","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, Sichuan, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, Sichuan, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051093782","display_name":"Andrew Beng Jin Teoh","orcid":"https://orcid.org/0000-0001-5063-9484"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Andrew Beng Jin Teoh","raw_affiliation_strings":["School of Electrical and Electronic Engineering, College of Engineering, Yonsei University Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, College of Engineering, Yonsei University Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048351097"],"corresponding_institution_ids":["https://openalex.org/I927504317"],"apc_list":null,"apc_paid":null,"fwci":3.5043,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.93118998,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"34","issue":"04","first_page":"2450020","last_page":"2450020"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9932000041007996,"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":0.9850000143051147,"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":0.8456873893737793},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6480592489242554},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5757932662963867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49808788299560547},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4979875087738037},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.46945327520370483},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45816001296043396},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4525824785232544},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.44972091913223267},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.43724074959754944}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8456873893737793},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6480592489242554},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5757932662963867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49808788299560547},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4979875087738037},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.46945327520370483},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45816001296043396},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4525824785232544},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.44972091913223267},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.43724074959754944},{"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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D001699","descriptor_name":"Biometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D001699","descriptor_name":"Biometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D001699","descriptor_name":"Biometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D034941","descriptor_name":"Upper Extremity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D034941","descriptor_name":"Upper Extremity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D034941","descriptor_name":"Upper Extremity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1142/s0129065724500205","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129065724500205","pdf_url":null,"source":{"id":"https://openalex.org/S197665576","display_name":"International Journal of Neural Systems","issn_l":"0129-0657","issn":["0129-0657","1793-6462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Neural Systems","raw_type":"journal-article"},{"id":"pmid:38414422","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38414422","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":"International journal of neural systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8648020462","display_name":null,"funder_award_id":"61866028","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2000947714","https://openalex.org/W2234281713","https://openalex.org/W2736832651","https://openalex.org/W2743151379","https://openalex.org/W2752782242","https://openalex.org/W2781754691","https://openalex.org/W2809290718","https://openalex.org/W2888620059","https://openalex.org/W2903852246","https://openalex.org/W2921440296","https://openalex.org/W2938749213","https://openalex.org/W2941301766","https://openalex.org/W2946300279","https://openalex.org/W2962858109","https://openalex.org/W2963430933","https://openalex.org/W2963652609","https://openalex.org/W2963877604","https://openalex.org/W2966126335","https://openalex.org/W2973839564","https://openalex.org/W2975173965","https://openalex.org/W3015382364","https://openalex.org/W3034722444","https://openalex.org/W3040429391","https://openalex.org/W3087931390","https://openalex.org/W3088877992","https://openalex.org/W3141797743","https://openalex.org/W3155127799","https://openalex.org/W3199153801","https://openalex.org/W4220929574","https://openalex.org/W4225113868","https://openalex.org/W4283743992","https://openalex.org/W4286579687","https://openalex.org/W4309643846","https://openalex.org/W4311506911","https://openalex.org/W4315651810","https://openalex.org/W4316036513","https://openalex.org/W4316170991","https://openalex.org/W4320718476","https://openalex.org/W4321436964","https://openalex.org/W4323266311","https://openalex.org/W4378979679","https://openalex.org/W4385945608"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","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","https://openalex.org/W3104966193"],"abstract_inverted_index":{"This":[0,84,150],"paper":[1],"presents":[2],"a":[3,112],"novel":[4],"multitask":[5,102],"learning":[6,147],"framework":[7,23],"for":[8,58],"palmprint":[9,54],"biometrics,":[10,38],"which":[11],"optimizes":[12],"classification":[13,19,35,82,172],"and":[14,34,41,63,111,130,174],"hashing":[15,48,67],"branches":[16],"jointly.":[17],"The":[18,66,180],"branch":[20,49,68],"within":[21],"our":[22,188],"facilitates":[24],"the":[25,44,47,51,70,81,99,146,153,162,185],"concurrent":[26],"execution":[27],"of":[28,36,53,101,187],"three":[29,163],"distinct":[30],"tasks:":[31],"identity":[32],"recognition":[33],"soft":[37],"encompassing":[39],"gender":[40],"chirality.":[42],"On":[43],"other":[45],"hand,":[46],"enables":[50],"generation":[52],"hash":[55],"codes,":[56],"optimizing":[57],"minimal":[59],"storage":[60],"as":[61],"templates":[62],"efficient":[64],"matching.":[65],"derives":[69],"complementary":[71],"information":[72],"from":[73,80],"these":[74],"tasks":[75,94,173],"by":[76],"amalgamating":[77],"knowledge":[78,134],"acquired":[79],"branch.":[83],"approach":[85],"leads":[86],"to":[87,92,127,144,156],"superior":[88],"overall":[89],"performance":[90],"compared":[91],"individual":[93],"in":[95,123],"isolation.":[96],"To":[97],"enhance":[98],"effectiveness":[100],"learning,":[103],"two":[104],"additional":[105],"modules,":[106],"an":[107,137],"attention":[108],"mechanism":[109],"module":[110,141,151],"customized":[113],"gate":[114],"control":[115],"module,":[116],"are":[117,121],"introduced.":[118],"These":[119],"modules":[120,164],"vital":[122],"allocating":[124],"higher":[125],"weights":[126,154],"crucial":[128],"channels":[129],"facilitating":[131],"task-specific":[132],"expert":[133],"integration.":[135],"Furthermore,":[136],"automatic":[138],"weight":[139],"adjustment":[140],"is":[142],"incorporated":[143],"optimize":[145],"process":[148],"further.":[149],"fine-tunes":[152],"assigned":[155],"different":[157],"tasks,":[158],"improving":[159],"performance.":[160],"Integrating":[161],"above":[165],"has":[166,175],"shown":[167],"promising":[168],"accuracies":[169],"across":[170],"various":[171],"notably":[176],"improved":[177],"authentication":[178],"accuracy.":[179],"extensive":[181],"experimental":[182],"results":[183],"validate":[184],"efficacy":[186],"proposed":[189],"framework.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}