{"id":"https://openalex.org/W4319866922","doi":"https://doi.org/10.1109/tcsvt.2023.3241054","title":"Disentangled Representation and Enhancement Network for Vein Recognition","display_name":"Disentangled Representation and Enhancement Network for Vein Recognition","publication_year":2023,"publication_date":"2023-01-31","ids":{"openalex":"https://openalex.org/W4319866922","doi":"https://doi.org/10.1109/tcsvt.2023.3241054"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2023.3241054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3241054","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5033385891","display_name":"Zaiyu Pan","orcid":"https://orcid.org/0000-0003-2946-6296"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zaiyu Pan","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101781466","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-8926-156X"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","Engineer Research Center of Intelligent Control for Underground Space, Ministry of Education, China University of Mining and Technology, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"Engineer Research Center of Intelligent Control for Underground Space, Ministry of Education, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054023409","display_name":"Zhengwen Shen","orcid":"https://orcid.org/0009-0007-9840-6242"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengwen Shen","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013798508","display_name":"Shuyu Han","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyu Han","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033385891"],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":null,"apc_paid":null,"fwci":2.9716,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91897086,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"33","issue":"8","first_page":"4164","last_page":"4176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.995199978351593,"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":0.995199978351593,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9925000071525574,"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"}},{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9710999727249146,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6847735643386841},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6420667767524719},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5776330828666687},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5650505423545837},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.548147976398468},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47381722927093506},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45550915598869324},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44933128356933594},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4456348419189453}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6847735643386841},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6420667767524719},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5776330828666687},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5650505423545837},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.548147976398468},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47381722927093506},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45550915598869324},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44933128356933594},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4456348419189453},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2023.3241054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3241054","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W191940071","https://openalex.org/W1522301498","https://openalex.org/W1533202230","https://openalex.org/W1966602166","https://openalex.org/W1991620112","https://openalex.org/W2004617923","https://openalex.org/W2006412088","https://openalex.org/W2037829978","https://openalex.org/W2097418325","https://openalex.org/W2102780391","https://openalex.org/W2115318452","https://openalex.org/W2118323481","https://openalex.org/W2184438434","https://openalex.org/W2194775991","https://openalex.org/W2284457152","https://openalex.org/W2328254514","https://openalex.org/W2490513603","https://openalex.org/W2491324189","https://openalex.org/W2531214401","https://openalex.org/W2569747121","https://openalex.org/W2588880820","https://openalex.org/W2598954556","https://openalex.org/W2600360414","https://openalex.org/W2604853352","https://openalex.org/W2622125698","https://openalex.org/W2624517164","https://openalex.org/W2729998540","https://openalex.org/W2740462425","https://openalex.org/W2755722600","https://openalex.org/W2766534271","https://openalex.org/W2793410607","https://openalex.org/W2803474166","https://openalex.org/W2806112117","https://openalex.org/W2811014381","https://openalex.org/W2893920965","https://openalex.org/W2899444440","https://openalex.org/W2906497729","https://openalex.org/W2917172368","https://openalex.org/W2921595296","https://openalex.org/W2928165649","https://openalex.org/W2935300443","https://openalex.org/W2955256527","https://openalex.org/W2956408132","https://openalex.org/W2963420686","https://openalex.org/W2963667985","https://openalex.org/W2982601397","https://openalex.org/W2985990156","https://openalex.org/W3003656584","https://openalex.org/W3005370840","https://openalex.org/W3025751871","https://openalex.org/W3026124983","https://openalex.org/W3030822238","https://openalex.org/W3034256998","https://openalex.org/W3088877992","https://openalex.org/W3132400026","https://openalex.org/W3181164069","https://openalex.org/W3197795290","https://openalex.org/W4252466990","https://openalex.org/W6631190155","https://openalex.org/W6686555772"],"related_works":["https://openalex.org/W2073139667","https://openalex.org/W2729514902","https://openalex.org/W2024160000","https://openalex.org/W2773500201","https://openalex.org/W2061273563","https://openalex.org/W4287995534","https://openalex.org/W2743258233","https://openalex.org/W2998168123","https://openalex.org/W2285052147","https://openalex.org/W2806866760"],"abstract_inverted_index":{"Recently,":[0],"vein":[1,17,35,56,72,78,86,103,128,143,154,171,206],"recognition":[2,11,57,73,172],"has":[3],"been":[4,200],"paid":[5],"more":[6,167],"considerable":[7],"attention":[8],"in":[9,95],"biometric":[10],"fields.":[12],"In":[13],"the":[14,22,31,38,46,53,84,99,121,142,148,175,182,189,209,218],"process":[15],"of":[16,24,34,48,55,102,127,151,177,184,191],"image":[18],"acquisition,":[19],"due":[20],"to":[21,97,119,139,165],"influence":[23],"external":[25],"factors":[26],"such":[27],"as":[28,92],"illumination":[29,195],"change,":[30,43],"texture":[32,122,178],"information":[33,41,94,145],"images":[36],"with":[37],"same":[39],"identity":[40],"may":[42],"which":[44,89,110,187],"enhances":[45],"difference":[47,190],"intra-class":[49,192],"and":[50,68,114,124,146,180,208],"extremely":[51],"degrades":[52],"performance":[54],"systems.":[58],"To":[59],"address":[60],"this":[61],"problem,":[62],"we":[63],"proposed":[64,215],"a":[65,106,131,157],"Disentangled":[66],"Representation":[67],"Enhancement":[69,160],"Network":[70],"for":[71,153,170],"called":[74],"DRE-Net.":[75],"First,":[76],"robust":[77],"shape":[79,100,125,185],"masks":[80],"are":[81,90],"obtained":[82],"by":[83,173,194],"designed":[85,118],"segmentation":[87],"algorithms,":[88],"utilized":[91],"label":[93],"DRE-Net":[96,152],"acquire":[98],"features":[101,123,126,179],"images.":[104,129,155],"Second,":[105],"disentangled":[107],"representation":[108,149],"network":[109,144],"contains":[111],"two":[112,115],"encoders":[113],"decoders":[116],"is":[117,137,163],"disentangle":[120],"Besides,":[130],"Multi-Scale":[132],"Attention":[133],"Residual":[134],"Block":[135],"(MSARB)":[136],"presented":[138,164],"better":[140],"mine":[141],"enhance":[147],"ability":[150],"Finally,":[156],"Weight-Guided":[158],"Feature":[159],"Module":[161],"(WGFEM)":[162],"obtain":[166],"discriminative":[168],"representations":[169],"reducing":[174],"importance":[176,183],"increasing":[181],"features,":[186],"decreases":[188],"caused":[193],"change.":[196],"Extensive":[197],"experiments":[198],"have":[199],"carried":[201],"out":[202],"on":[203],"three":[204],"benchmark":[205],"databases,":[207],"experimental":[210],"results":[211],"demonstrate":[212],"that":[213],"our":[214],"model":[216],"outperforms":[217],"state-of-the-art":[219],"methods.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
