{"id":"https://openalex.org/W4401157731","doi":"https://doi.org/10.1109/hsi61632.2024.10613571","title":"GAN et: Gabor Attention Aggregation Network for Palmvein Identification","display_name":"GAN et: Gabor Attention Aggregation Network for Palmvein Identification","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4401157731","doi":"https://doi.org/10.1109/hsi61632.2024.10613571"},"language":"en","primary_location":{"id":"doi:10.1109/hsi61632.2024.10613571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hsi61632.2024.10613571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on Human System Interaction (HSI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04663322/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102674802","display_name":"Hongchao Liao","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hongchao Liao","raw_affiliation_strings":["School of Artificial Intelligence CTBU,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence CTBU,Chongqing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101896779","display_name":"Xin Jin","orcid":"https://orcid.org/0000-0003-1733-1474"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Jin","raw_affiliation_strings":["School of Artificial Intelligence CTBU,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence CTBU,Chongqing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101033360","display_name":"Hongyu Zhu","orcid":"https://orcid.org/0009-0003-7023-2835"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongyu Zhu","raw_affiliation_strings":["School of Artificial Intelligence CTBU,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence CTBU,Chongqing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079729383","display_name":"Yuming Fu","orcid":"https://orcid.org/0000-0002-7243-5236"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuming Fu","raw_affiliation_strings":["School of Artificial Intelligence CTBU,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence CTBU,Chongqing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038934826","display_name":"Moun\u00eem A. El\u2010Yacoubi","orcid":"https://orcid.org/0000-0002-7383-0588"},"institutions":[{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mounim A. El Yacoubi","raw_affiliation_strings":["School of Artificial Intelligence Telecom SudParis, Institut Polytechnique de Paris,Paris,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence Telecom SudParis, Institut Polytechnique de Paris,Paris,France","institution_ids":["https://openalex.org/I4210145102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054571269","display_name":"Huafeng Qin","orcid":"https://orcid.org/0000-0003-4911-0393"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huafeng Qin","raw_affiliation_strings":["School of Artificial Intelligence CTBU,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence CTBU,Chongqing,China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102674802"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6446,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65411977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9940999746322632,"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/T12357","display_name":"Digital Media Forensic Detection","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":0.601820707321167},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5887542963027954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4043358564376831},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4040255844593048}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.601820707321167},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5887542963027954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4043358564376831},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4040255844593048},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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":3,"locations":[{"id":"doi:10.1109/hsi61632.2024.10613571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hsi61632.2024.10613571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on Human System Interaction (HSI)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04663322v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04663322","pdf_url":"https://hal.science/hal-04663322/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"16th International Conference on Human System Interaction (ICHSI), Jul 2024, Paris, France. &#x27E8;10.13140/RG.2.2.22864.93444&#x27E9;","raw_type":"Conference papers"},{"id":"doi:10.13140/rg.2.2.22864.93444","is_oa":true,"landing_page_url":"https://doi.org/10.13140/rg.2.2.22864.93444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04663322v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04663322","pdf_url":"https://hal.science/hal-04663322/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"16th International Conference on Human System Interaction (ICHSI), Jul 2024, Paris, France. &#x27E8;10.13140/RG.2.2.22864.93444&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2394222010","display_name":null,"funder_award_id":"61976030","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"},{"id":"https://openalex.org/F4320322271","display_name":"Science Fund for Creative Research Groups","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401157731.pdf"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1413778154","https://openalex.org/W1512403036","https://openalex.org/W1616262590","https://openalex.org/W1969030392","https://openalex.org/W2004617923","https://openalex.org/W2014470493","https://openalex.org/W2023631753","https://openalex.org/W2051075456","https://openalex.org/W2069959554","https://openalex.org/W2079981574","https://openalex.org/W2080562729","https://openalex.org/W2102780391","https://openalex.org/W2118323481","https://openalex.org/W2136975665","https://openalex.org/W2156338447","https://openalex.org/W2161969291","https://openalex.org/W2168106524","https://openalex.org/W2194775991","https://openalex.org/W2417429787","https://openalex.org/W2468064467","https://openalex.org/W2479187062","https://openalex.org/W2599632008","https://openalex.org/W2618530766","https://openalex.org/W2766534271","https://openalex.org/W2791437400","https://openalex.org/W2811014381","https://openalex.org/W2946300279","https://openalex.org/W2947131035","https://openalex.org/W2956862036","https://openalex.org/W3034256998","https://openalex.org/W3102431071","https://openalex.org/W3128621523","https://openalex.org/W3132400026","https://openalex.org/W3134449933","https://openalex.org/W3206974845","https://openalex.org/W4205437765","https://openalex.org/W4306832857","https://openalex.org/W4312820255"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Palm":[0],"vein":[1,39,68,92,111,115,169],"recognition":[2,37,112,170],"has":[3],"attracted":[4],"recently":[5],"wide":[6],"attention":[7,100],"thanks":[8],"to":[9,80,102,134,139],"its":[10],"robust":[11],"feature":[12,152],"representation":[13],"and":[14,46,97,124],"high":[15],"accuracy.":[16,48],"Despite":[17],"advancements":[18],"in":[19,42],"the":[20,27,63,82,104,141,148],"literature,":[21],"however,":[22],"existing":[23,167],"solutions":[24],"suffer":[25],"from":[26],"following":[28],"issues:":[29],"1)":[30],"Insufficient":[31],"large-scale":[32],"data":[33],"for":[34,67,108],"deep":[35],"learning-based":[36],"of":[38,51,61],"biometrics,":[40],"resulting":[41],"decreased":[43],"generalization":[44],"performance":[45],"model":[47],"2)":[49],"Lack":[50],"methods":[52],"based":[53],"on":[54,159],"machine":[55],"learning":[56],"convolutional":[57],"neural":[58],"networks":[59],"capable":[60],"capturing":[62],"global":[64,83,105,142],"receptive":[65,84,106,143],"field":[66,107],"biometric":[69],"recognition.":[70],"In":[71],"addressing":[72],"these":[73],"issues,":[74],"this":[75],"paper":[76],"proposes":[77],"a":[78],"method":[79],"acquire":[81],"field,":[85],"termed":[86],"G":[87],"AN":[88],"et,":[89],"which":[90],"extracts":[91],"features":[93,116],"using":[94,119],"Gabor":[95,122,127],"filters":[96,123],"computes":[98],"an":[99],"mechanism":[101],"capture":[103],"downstream":[109],"palm":[110,168],"models.":[113],"Initially,":[114],"are":[117,132],"extracted":[118],"multi-scale":[120,125],"fixed":[121],"adaptive":[126],"filters.":[128],"Subsequently,":[129],"self-attention":[130],"mechanisms":[131],"employed":[133],"compute":[135],"relationships":[136],"between":[137,151],"blocks":[138],"obtain":[140],"field.":[144],"To":[145],"perform":[146],"recognition,":[147],"Euclidean":[149],"distance":[150],"vectors":[153],"is":[154],"then":[155],"computed.":[156],"Our":[157],"experiments":[158],"three":[160],"datasets":[161],"show":[162],"that":[163],"our":[164],"approach":[165],"outperforms":[166],"methods.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
