{"id":"https://openalex.org/W4392902772","doi":"https://doi.org/10.1109/icassp48485.2024.10446757","title":"Motion Transfer-Driven Intra-Class Data Augmentation for Finger Vein Recognition","display_name":"Motion Transfer-Driven Intra-Class Data Augmentation for Finger Vein Recognition","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392902772","doi":"https://doi.org/10.1109/icassp48485.2024.10446757"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446757","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10446757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5101940591","display_name":"Xiu\u2010Feng Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Xiu-Feng Huang","raw_affiliation_strings":["City University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038133707","display_name":"Lai-Man Po","orcid":"https://orcid.org/0000-0002-5185-1492"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lai-Man Po","raw_affiliation_strings":["City University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005598259","display_name":"Weifeng Ou","orcid":"https://orcid.org/0000-0002-8908-3863"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Feng Ou","raw_affiliation_strings":["Dongguan University of Technology"],"affiliations":[{"raw_affiliation_string":"Dongguan University of Technology","institution_ids":["https://openalex.org/I2799850029"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101940591"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":0.7501,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65172931,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"4585","last_page":"4589"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9948999881744385,"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":0.9948999881744385,"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":0.9896000027656555,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9714000225067139,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.7693660259246826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7609323263168335},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6825945973396301},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5643301606178284},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.4888409972190857},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.4731501340866089},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4523686468601227},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4410734176635742},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.42489850521087646},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3025679588317871},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.0995485782623291}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7693660259246826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7609323263168335},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6825945973396301},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5643301606178284},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.4888409972190857},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.4731501340866089},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4523686468601227},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4410734176635742},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.42489850521087646},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3025679588317871},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0995485782623291},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446757","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10446757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W191940071","https://openalex.org/W1901129140","https://openalex.org/W1966602166","https://openalex.org/W1991620112","https://openalex.org/W2058362416","https://openalex.org/W2102780391","https://openalex.org/W2118323481","https://openalex.org/W2194775991","https://openalex.org/W2559085405","https://openalex.org/W2811014381","https://openalex.org/W2919938126","https://openalex.org/W2962793481","https://openalex.org/W2996162755","https://openalex.org/W2999153086","https://openalex.org/W3008823916","https://openalex.org/W3035515747","https://openalex.org/W3035574324","https://openalex.org/W3119247023","https://openalex.org/W3133963594","https://openalex.org/W3178284600","https://openalex.org/W4213014045","https://openalex.org/W4291034536","https://openalex.org/W4292347927","https://openalex.org/W6767264202"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4286646204","https://openalex.org/W2564375980","https://openalex.org/W3092720353"],"abstract_inverted_index":{"Finger":[0],"vein":[1,36,92,128,165],"recognition":[2,46,184],"(FVR)":[3],"has":[4,22,38],"emerged":[5],"as":[6],"a":[7,84,110,133],"secure":[8],"biometric":[9],"technique":[10],"because":[11],"of":[12,15,34,122],"the":[13,31,45,62,69,98,116,123,139,153,156,169,183],"confidentiality":[14],"vascular":[16],"bio-information.":[17],"Recently,":[18],"deep":[19],"learning-based":[20],"FVR":[21],"gained":[23],"increased":[24],"popularity":[25],"and":[26,42,102,119,125,180],"achieved":[27],"promising":[28],"performance.":[29,47],"However,":[30],"limited":[32,75],"size":[33],"public":[35,163],"datasets":[37],"caused":[39],"overfitting":[40],"issues":[41],"greatly":[43],"limits":[44],"Although":[48],"traditional":[49],"data":[50,56,94],"augmentation":[51,95],"can":[52,174],"partially":[53],"alleviate":[54],"this":[55,80],"shortage":[57],"issue,":[58,81],"it":[59],"cannot":[60],"capture":[61],"real":[63],"finger":[64,91,100,127,164],"posture":[65,101],"variations":[66],"due":[67],"to":[68,114,137,146],"rigid":[70],"label-preserving":[71],"image":[72,93,148,154],"transformations,":[73],"bringing":[74],"performance":[76],"improvement.":[77],"To":[78],"address":[79],"we":[82],"propose":[83],"novel":[85],"motion":[86,135,140,171],"transfer":[87,172],"(MT)":[88],"model":[89,107,173],"for":[90,151],"via":[96],"modeling":[97],"actual":[99],"rotational":[103],"movements.":[104],"The":[105],"proposed":[106,170],"first":[108],"utilizes":[109],"key":[111,117],"point":[112,118],"detector":[113],"extract":[115],"pose":[120],"map":[121],"source":[124],"drive":[126],"images.":[129],"We":[130],"then":[131],"utilize":[132],"dense":[134],"module":[136,150],"estimate":[138],"optical":[141],"flow,":[142],"which":[143],"is":[144],"fed":[145],"an":[147],"generation":[149],"generating":[152],"with":[155],"target":[157],"pose.":[158],"Experiments":[159],"conducted":[160],"on":[161],"three":[162],"databases":[166],"demonstrate":[167],"that":[168],"generate":[175],"realistic":[176],"intra-class":[177],"augmented":[178],"samples":[179],"effectively":[181],"improve":[182],"accuracy.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}