{"id":"https://openalex.org/W2003022024","doi":"https://doi.org/10.1049/iet-bmt.2013.0086","title":"Hand vein authentication using biometric graph matching","display_name":"Hand vein authentication using biometric graph matching","publication_year":2014,"publication_date":"2014-09-03","ids":{"openalex":"https://openalex.org/W2003022024","doi":"https://doi.org/10.1049/iet-bmt.2013.0086","mag":"2003022024"},"language":"en","primary_location":{"id":"doi:10.1049/iet-bmt.2013.0086","is_oa":true,"landing_page_url":"https://doi.org/10.1049/iet-bmt.2013.0086","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-bmt.2013.0086","source":{"id":"https://openalex.org/S2482923289","display_name":"IET Biometrics","issn_l":"2047-4938","issn":["2047-4938","2047-4946"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Biometrics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-bmt.2013.0086","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064028940","display_name":"Seyed Mehdi Lajevardi","orcid":null},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Seyed Mehdi Lajevardi","raw_affiliation_strings":["School of Mathematical and Geospatial Sciences RMIT University Melbourne Australia","School of Mathematical and Geospatial SciencesRMIT UniversityMelbourneAustralia"],"affiliations":[{"raw_affiliation_string":"School of Mathematical and Geospatial Sciences RMIT University Melbourne Australia","institution_ids":["https://openalex.org/I82951845"]},{"raw_affiliation_string":"School of Mathematical and Geospatial SciencesRMIT UniversityMelbourneAustralia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090823015","display_name":"Arathi Arakala","orcid":"https://orcid.org/0000-0002-5515-175X"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Arathi Arakala","raw_affiliation_strings":["School of Mathematical and Geospatial Sciences RMIT University Melbourne Australia","School of Mathematical and Geospatial SciencesRMIT UniversityMelbourneAustralia"],"affiliations":[{"raw_affiliation_string":"School of Mathematical and Geospatial Sciences RMIT University Melbourne Australia","institution_ids":["https://openalex.org/I82951845"]},{"raw_affiliation_string":"School of Mathematical and Geospatial SciencesRMIT UniversityMelbourneAustralia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075401067","display_name":"Stephen Davis","orcid":"https://orcid.org/0000-0003-1202-1426"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Stephen Davis","raw_affiliation_strings":["School of Mathematical and Geospatial Sciences RMIT University Melbourne Australia","School of Mathematical and Geospatial SciencesRMIT UniversityMelbourneAustralia"],"affiliations":[{"raw_affiliation_string":"School of Mathematical and Geospatial Sciences RMIT University Melbourne Australia","institution_ids":["https://openalex.org/I82951845"]},{"raw_affiliation_string":"School of Mathematical and Geospatial SciencesRMIT UniversityMelbourneAustralia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058448174","display_name":"K. J. Horadam","orcid":"https://orcid.org/0000-0002-6980-220X"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kathy J. Horadam","raw_affiliation_strings":["School of Mathematical and Geospatial Sciences RMIT University Melbourne Australia","School of Mathematical and Geospatial SciencesRMIT UniversityMelbourneAustralia"],"affiliations":[{"raw_affiliation_string":"School of Mathematical and Geospatial Sciences RMIT University Melbourne Australia","institution_ids":["https://openalex.org/I82951845"]},{"raw_affiliation_string":"School of Mathematical and Geospatial SciencesRMIT UniversityMelbourneAustralia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064028940"],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":{"value":2200,"currency":"USD","value_usd":2200},"apc_paid":null,"fwci":5.0019,"has_fulltext":true,"cited_by_count":49,"citation_normalized_percentile":{"value":0.95877758,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"3","issue":"4","first_page":"302","last_page":"313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9830999970436096,"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":0.9830999970436096,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9082000255584717,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9043999910354614,"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/biometrics","display_name":"Biometrics","score":0.7442666292190552},{"id":"https://openalex.org/keywords/iterative-closest-point","display_name":"Iterative closest point","score":0.7355182766914368},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6951541900634766},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.601567268371582},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5876831412315369},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5373814105987549},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45545142889022827},{"id":"https://openalex.org/keywords/hausdorff-distance","display_name":"Hausdorff distance","score":0.44775763154029846},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.4469982087612152},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4469013214111328},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3764852285385132},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23532044887542725},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20751553773880005},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12036821246147156},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.11446216702461243}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7442666292190552},{"id":"https://openalex.org/C195958017","wikidata":"https://www.wikidata.org/wiki/Q1675268","display_name":"Iterative closest point","level":3,"score":0.7355182766914368},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6951541900634766},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.601567268371582},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5876831412315369},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5373814105987549},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45545142889022827},{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.44775763154029846},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.4469982087612152},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4469013214111328},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3764852285385132},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23532044887542725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20751553773880005},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12036821246147156},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.11446216702461243},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1049/iet-bmt.2013.0086","is_oa":true,"landing_page_url":"https://doi.org/10.1049/iet-bmt.2013.0086","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-bmt.2013.0086","source":{"id":"https://openalex.org/S2482923289","display_name":"IET Biometrics","issn_l":"2047-4938","issn":["2047-4938","2047-4946"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Biometrics","raw_type":"journal-article"},{"id":"pmh:oai:alma.61RMIT_INST:11247726750001341","is_oa":false,"landing_page_url":"http://doi.org/10.1049/iet-bmt.2013.0086","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:figshare.com:article/27472878","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Hand_vein_authentication_using_biometric_graph_matching/27472878","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1049/iet-bmt.2013.0086","is_oa":true,"landing_page_url":"https://doi.org/10.1049/iet-bmt.2013.0086","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-bmt.2013.0086","source":{"id":"https://openalex.org/S2482923289","display_name":"IET Biometrics","issn_l":"2047-4938","issn":["2047-4938","2047-4946"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Biometrics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G6067309564","display_name":null,"funder_award_id":"DP120101188","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320320766","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2003022024.pdf"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W226865439","https://openalex.org/W1482253155","https://openalex.org/W1533162639","https://openalex.org/W1942256215","https://openalex.org/W1975040805","https://openalex.org/W1984959895","https://openalex.org/W1991620112","https://openalex.org/W1999071803","https://openalex.org/W2020007779","https://openalex.org/W2057846426","https://openalex.org/W2068137690","https://openalex.org/W2070204942","https://openalex.org/W2096540110","https://openalex.org/W2102415808","https://openalex.org/W2107105977","https://openalex.org/W2122035142","https://openalex.org/W2141461755","https://openalex.org/W2159889908","https://openalex.org/W2170607286","https://openalex.org/W2229116140","https://openalex.org/W2290785854","https://openalex.org/W2293541924","https://openalex.org/W2325699182","https://openalex.org/W2598450090","https://openalex.org/W4205699531"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2062586268","https://openalex.org/W2379932303","https://openalex.org/W2586932652","https://openalex.org/W2360562718","https://openalex.org/W2393017557","https://openalex.org/W2740155224","https://openalex.org/W2354114671","https://openalex.org/W2365525733"],"abstract_inverted_index":{"This":[0],"study":[1],"proposes":[2],"an":[3],"automatic":[4],"dorsal":[5,20],"hand":[6,21,69,74,83],"vein":[7,22,70,75,84],"verification":[8],"system":[9],"using":[10,26,45,52,121,141],"a":[11,53,68,73,179],"novel":[12],"algorithm":[13],"called":[14],"biometric":[15],"graph":[16],"matching":[17,78,96,103,130],"(BGM).":[18],"The":[19,57,77,172],"image":[23],"is":[24,35,86,132,183],"segmented":[25],"the":[27,31,39,95,138,158,163,175,184],"K\u2010means":[28],"technique":[29],"and":[30,43,59,65,92,109,124,143,191],"region":[32],"of":[33,80,98,174,178,181],"interest":[34],"extracted":[36,51],"based":[37],"on":[38,116,137],"morphological":[40],"analysis":[41],"operators":[42],"normalised":[44],"adaptive":[46],"histogram":[47],"equalisation.":[48],"Veins":[49],"are":[50,114],"maximum":[54],"curvature":[55],"algorithm.":[56],"locations":[58],"vascular":[60],"connections":[61],"between":[62,189],"crossovers,":[63],"bifurcations":[64],"terminations":[66],"in":[67],"pattern":[71,170],"define":[72],"graph.":[76],"performance":[79,97,131],"BGM":[81,149,166],"for":[82],"graphs":[85,161,182],"tested":[87],"with":[88,94,134],"two":[89,99,117],"cost":[90],"functions":[91],"compared":[93],"standard":[100],"point":[101,107,169],"patterns":[102],"algorithms,":[104],"iterative":[105],"closest":[106],"(ICP)":[108],"modified":[110],"Hausdorff":[111],"distance.":[112],"Experiments":[113],"conducted":[115],"public":[118],"databases":[119,139],"captured":[120],"far":[122],"infrared":[123,126],"near":[125],"(NIR)":[127],"cameras.":[128],"BGM's":[129],"competitive":[133],"state\u2010of\u2010the\u2010art":[135],"algorithms":[136],"despite":[140],"small":[142,159],"concise":[144],"templates.":[145],"For":[146,157],"both":[147],"databases,":[148],"performed":[150],"at":[151],"least":[152],"as":[153,155],"well":[154],"ICP.":[156],"sized":[160],"from":[162],"NIR":[164],"database,":[165],"significantly":[167],"outperformed":[168],"matching.":[171],"size":[173],"common":[176],"subgraph":[177],"pair":[180],"most":[185],"significant":[186],"discriminating":[187],"measure":[188],"genuine":[190],"imposter":[192],"comparisons.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":6}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}