{"id":"https://openalex.org/W1900662148","doi":"https://doi.org/10.1109/biosig.2015.7314619","title":"Robustness Evaluation of Hand Vein Recognition Systems","display_name":"Robustness Evaluation of Hand Vein Recognition Systems","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W1900662148","doi":"https://doi.org/10.1109/biosig.2015.7314619","mag":"1900662148"},"language":"en","primary_location":{"id":"doi:10.1109/biosig.2015.7314619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biosig.2015.7314619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference of the Biometrics Special Interest Group (BIOSIG)","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/A5037016808","display_name":"Christof Kauba","orcid":"https://orcid.org/0000-0002-2716-1360"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Christof Kauba","raw_affiliation_strings":["Department of Computer Sciences, University of Salzburg, Salzburg, AUSTRIA","[Department of Computer Science, University of Salzburg, Salzburg, Austria]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, University of Salzburg, Salzburg, AUSTRIA","institution_ids":["https://openalex.org/I182212641"]},{"raw_affiliation_string":"[Department of Computer Science, University of Salzburg, Salzburg, Austria]","institution_ids":["https://openalex.org/I182212641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062946437","display_name":"Andreas Uhl","orcid":"https://orcid.org/0000-0002-5921-8755"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Andreas Uhl","raw_affiliation_strings":["Department of Computer Sciences, University of Salzburg, Salzburg, AUSTRIA","[Department of Computer Science, University of Salzburg, Salzburg, Austria]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, University of Salzburg, Salzburg, AUSTRIA","institution_ids":["https://openalex.org/I182212641"]},{"raw_affiliation_string":"[Department of Computer Science, University of Salzburg, Salzburg, Austria]","institution_ids":["https://openalex.org/I182212641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037016808"],"corresponding_institution_ids":["https://openalex.org/I182212641"],"apc_list":null,"apc_paid":null,"fwci":2.9001,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.9135838,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9822999835014343,"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/T11448","display_name":"Face recognition and analysis","score":0.9578999876976013,"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/robustness","display_name":"Robustness (evolution)","score":0.8400598764419556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6912606954574585},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.643303632736206},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6384261250495911},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5998209714889526},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45855918526649475},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4487180709838867},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.4408549964427948},{"id":"https://openalex.org/keywords/dirt","display_name":"Dirt","score":0.4297170341014862},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2137717306613922},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21278789639472961}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8400598764419556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6912606954574585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.643303632736206},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6384261250495911},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5998209714889526},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45855918526649475},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4487180709838867},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.4408549964427948},{"id":"https://openalex.org/C2778582501","wikidata":"https://www.wikidata.org/wiki/Q555882","display_name":"Dirt","level":2,"score":0.4297170341014862},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2137717306613922},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21278789639472961},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/biosig.2015.7314619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biosig.2015.7314619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference of the Biometrics Special Interest Group (BIOSIG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1493698890","https://openalex.org/W1533686608","https://openalex.org/W1569096659","https://openalex.org/W1576190792","https://openalex.org/W1639795441","https://openalex.org/W1669286230","https://openalex.org/W2016055408","https://openalex.org/W2027654975","https://openalex.org/W2201133991","https://openalex.org/W2275082351","https://openalex.org/W2500687493","https://openalex.org/W4230579564","https://openalex.org/W6631994416","https://openalex.org/W6657224702"],"related_works":["https://openalex.org/W2057213227","https://openalex.org/W2483334712","https://openalex.org/W2077604717","https://openalex.org/W2352212546","https://openalex.org/W195039303","https://openalex.org/W2157479968","https://openalex.org/W2921959338","https://openalex.org/W2036897369","https://openalex.org/W2382531111","https://openalex.org/W1996690921"],"abstract_inverted_index":{"Hand":[0],"vein":[1,36,57],"recognition":[2,80],"systems":[3],"are":[4],"more":[5],"robust":[6],"against":[7,42],"external":[8],"influences":[9],"which":[10],"degrade":[11],"the":[12,20,31,53,71,74,79,87,92],"image":[13,46],"quality":[14],"like":[15],"dust":[16],"or":[17,22],"dirt":[18],"on":[19,78],"sensor":[21,63],"skin":[23],"surface":[24],"conditions":[25,50],"than":[26],"fingerprint":[27],"ones.":[28],"We":[29],"investigate":[30],"robustness":[32],"of":[33,45,55,73,86,98],"several":[34],"hand":[35,56],"feature":[37],"extraction":[38],"and":[39,68,89,95],"matching":[40],"schemes":[41,94],"different":[43,93,96],"types":[44,97],"distortions,":[47],"related":[48],"to":[49,62],"occurring":[51],"during":[52],"acquisition":[54],"images.":[58],"These":[59],"distortions":[60],"correspond":[61],"defects,":[64],"bad":[65],"system":[66],"design":[67],"problems":[69],"in":[70,84],"use":[72],"sensor.":[75],"The":[76],"impact":[77],"accuracy":[81],"is":[82],"quantified":[83],"terms":[85],"EER":[88],"compared":[90],"across":[91],"distortions.":[99]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}
