{"id":"https://openalex.org/W4402259759","doi":"https://doi.org/10.1109/tip.2024.3451933","title":"Generating Stylized Features for Single-Source Cross-Dataset Palmprint Recognition With Unseen Target Dataset","display_name":"Generating Stylized Features for Single-Source Cross-Dataset Palmprint Recognition With Unseen Target Dataset","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402259759","doi":"https://doi.org/10.1109/tip.2024.3451933","pmid":"https://pubmed.ncbi.nlm.nih.gov/39236127"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3451933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3451933","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":false,"raw_author_name":"Huikai Shao","raw_affiliation_strings":["School of Automation Science and Engineering and the School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0001-9970-1576","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering and the School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007083166","display_name":"Pengxu Li","orcid":"https://orcid.org/0000-0003-3622-6071"},"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":"Pengxu Li","raw_affiliation_strings":["School of Economics and Finance, Xi’an Jiaotong University, Xi’an, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Finance, Xi’an Jiaotong University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"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’an Jiaotong University, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-6806-6300","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, 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":2.4458,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.90041868,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"33","issue":null,"first_page":"4911","last_page":"4922"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9919999837875366,"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/T10862","display_name":"AI in cancer detection","score":0.958899974822998,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/stylized-fact","display_name":"Stylized fact","score":0.7959328889846802},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7819060683250427},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.707655131816864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6500720977783203},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.649228572845459},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.6317174434661865},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5871446132659912},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.567809522151947},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5549969673156738},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.44733792543411255},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12951257824897766},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.062128812074661255}],"concepts":[{"id":"https://openalex.org/C38935604","wikidata":"https://www.wikidata.org/wiki/Q4330363","display_name":"Stylized fact","level":2,"score":0.7959328889846802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7819060683250427},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.707655131816864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6500720977783203},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.649228572845459},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.6317174434661865},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5871446132659912},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.567809522151947},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5549969673156738},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.44733792543411255},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12951257824897766},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.062128812074661255},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"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/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","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},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2024.3451933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3451933","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:39236127","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39236127","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":[],"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W1904365287","https://openalex.org/W2114214092","https://openalex.org/W2126562928","https://openalex.org/W2194775991","https://openalex.org/W2265356345","https://openalex.org/W2593768305","https://openalex.org/W2755992512","https://openalex.org/W2908401002","https://openalex.org/W2921789662","https://openalex.org/W2946300279","https://openalex.org/W2958360136","https://openalex.org/W2962898354","https://openalex.org/W2963775347","https://openalex.org/W2964288524","https://openalex.org/W3013142319","https://openalex.org/W3034303554","https://openalex.org/W3038585207","https://openalex.org/W3095799614","https://openalex.org/W3107129517","https://openalex.org/W3119287745","https://openalex.org/W3123372968","https://openalex.org/W3133542152","https://openalex.org/W3134362348","https://openalex.org/W3137157783","https://openalex.org/W3138042287","https://openalex.org/W3163682380","https://openalex.org/W3166898278","https://openalex.org/W3172854222","https://openalex.org/W3175146247","https://openalex.org/W3175956495","https://openalex.org/W3207856632","https://openalex.org/W3214424624","https://openalex.org/W4214480085","https://openalex.org/W4224296167","https://openalex.org/W4285177866","https://openalex.org/W4286225037","https://openalex.org/W4288054906","https://openalex.org/W4289639938","https://openalex.org/W4310079729","https://openalex.org/W4312823897","https://openalex.org/W4317935312","https://openalex.org/W4319300584","https://openalex.org/W4319459920","https://openalex.org/W4319997133","https://openalex.org/W4376851402","https://openalex.org/W4377943991","https://openalex.org/W4379805847","https://openalex.org/W4381736331","https://openalex.org/W4385525529","https://openalex.org/W4385565385","https://openalex.org/W4386071531","https://openalex.org/W4386075820","https://openalex.org/W4386076298","https://openalex.org/W4386083080","https://openalex.org/W4386083140","https://openalex.org/W4387623802","https://openalex.org/W4387934883","https://openalex.org/W4387969616","https://openalex.org/W4388157208","https://openalex.org/W4388240180","https://openalex.org/W4392251497","https://openalex.org/W4392946876","https://openalex.org/W4393906060","https://openalex.org/W4394008640","https://openalex.org/W6640036494","https://openalex.org/W6682891771","https://openalex.org/W6745136726","https://openalex.org/W6771271773","https://openalex.org/W6774630179","https://openalex.org/W6775613530","https://openalex.org/W6784146242","https://openalex.org/W6786219303","https://openalex.org/W6840458696","https://openalex.org/W6849956896"],"related_works":["https://openalex.org/W2529311304","https://openalex.org/W4248275646","https://openalex.org/W2992609826","https://openalex.org/W3124809058","https://openalex.org/W2552900035","https://openalex.org/W2162875951","https://openalex.org/W2062875858","https://openalex.org/W4380047323","https://openalex.org/W2138330538","https://openalex.org/W2046581487"],"abstract_inverted_index":{"As":[0],"a":[1,20,43,50,71,101],"promising":[2],"topic":[3],"in":[4],"palmprint":[5,8,44,175,187],"recognition,":[6],"cross-dataset":[7],"recognition":[9],"is":[10,26,39,105,148,165],"attracting":[11],"more":[12,14,21,118,124],"and":[13,96,111,131,185],"research":[15],"interests.":[16],"In":[17],"this":[18,67],"paper,":[19],"difficult":[22],"yet":[23],"realistic":[24],"scenario":[25],"studied,":[27],"i.e.,":[28],"Single-Source":[29],"Cross-Dataset":[30],"Palmprint":[31],"Recognition":[32],"with":[33],"Unseen":[34],"Target":[35],"dataset":[36,53],"(S2CDPR-UT).":[37],"It":[38],"aimed":[40,149,166],"to":[41,54,74,107,116,140,142,150,157,167,172],"generalize":[42],"feature":[45,79,102,138,160],"extractor":[46,80],"trained":[47],"only":[48],"on":[49,181],"single":[51],"source":[52],"multiple":[55],"unseen":[56],"target":[57],"datasets":[58],"collected":[59],"by":[60],"different":[61],"devices":[62],"or":[63],"environments.":[64],"To":[65],"combat":[66],"challenge,":[68],"we":[69],"propose":[70],"novel":[72],"method":[73,193],"improve":[75],"the":[76,89,109,144,152,159,163,169],"generalization":[77],"of":[78,113,154,198],"for":[81],"S2CDPR-UT,":[82],"named":[83],"Generating":[84],"stylIzed":[85],"FeaTures":[86],"(GIFT).":[87],"Firstly,":[88],"raw":[90],"features":[91,156],"are":[92,135],"decoupled":[93],"into":[94],"high-":[95],"low-":[97],"frequency":[98],"components.":[99],"Then,":[100],"stylization":[103],"module":[104],"constructed":[106],"perturb":[108],"mean":[110],"variance":[112],"low-frequency":[114],"components":[115],"generate":[117],"stylized":[119,155],"features,":[120],"which":[121],"can":[122,194],"provided":[123],"valuable":[125],"knowledge.":[126],"Furthermore,":[127],"two":[128],"diversity":[129,153],"enhancement":[130],"consistency":[132,171],"preservation":[133],"supervisions":[134],"introduced":[136],"at":[137,208],"level":[139],"help":[141],"learn":[143],"model.":[145],"The":[146,203],"former":[147],"enhance":[151],"expand":[158],"space.":[161],"Meanwhile,":[162],"later":[164],"maintain":[168],"semantic":[170],"ensure":[173],"accurate":[174],"recognition.":[176],"Extensive":[177],"experiments":[178],"carried":[179],"out":[180],"CASIA":[182],"Multi-Spectral,":[183],"XJTU-UP,":[184],"MPD":[186],"databases":[188],"show":[189],"that":[190],"our":[191],"GIFT":[192],"achieve":[195],"significant":[196],"improvement":[197],"performance":[199],"over":[200],"other":[201],"methods.":[202],"codes":[204],"will":[205],"be":[206],"released":[207],"https://github.com/HuikaiShao/GIFT.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}