Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/8469
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dc.contributor.authorWang, Lingyuen
dc.contributor.authorLeedham, Grahamen
dc.contributor.authorCho, David Siu-Yeungen
dc.date.accessioned2011-09-09T13:47:00Z-
dc.date.issued2008-
dc.identifier.citationPattern Recognition, 41(3), p. 920-929en
dc.identifier.issn1873-5142en
dc.identifier.issn0031-3203en
dc.identifier.urihttps://hdl.handle.net/1959.11/8469-
dc.description.abstractThis paper proposes a novel technique to analyze the infrared vein patterns in the back of the hand for biometric purposes. The technique utilizes the minutiae features extracted from the vein patterns for recognition, which include bifurcation points and ending points. Similar to fingerprints, these feature points are used as a geometric representation of the shape of vein patterns. Analysis of a database of infrared vein patterns shows a trend that for each hand vein pattern image, there are, on average, 13 minutiae points in each vein pattern image, including 7 bifurcation and 6 ending points. The modified Hausdorff distance algorithm is proposed to evaluate the discriminating power of these minutiae for person verification purposes. Experimental results show the algorithm reaches 0% of equal error rate (EER) on the database of 47 distinct subjects, which indicates the minutiae features of the vein pattern can be used to perform personal verification tasks. The paper also presents the preprocessing techniques to obtain the minutiae points as well as in-depth study on their tolerance to processing errors, such as loss of features and geometrical displacement.en
dc.languageenen
dc.publisherElsevier Ltden
dc.relation.ispartofPattern Recognitionen
dc.titleMinutiae feature analysis for infrared hand vein pattern biometricsen
dc.typeJournal Articleen
dc.identifier.doi10.1016/j.patcog.2007.07.012en
dc.subject.keywordsArtificial Intelligence and Image Processingen
dc.subject.keywordsImage Processingen
dc.subject.keywordsComputer Visionen
local.contributor.firstnameLingyuen
local.contributor.firstnameGrahamen
local.contributor.firstnameDavid Siu-Yeungen
local.subject.for2008080199 Artificial Intelligence and Image Processing not elsewhere classifieden
local.subject.for2008080106 Image Processingen
local.subject.for2008080104 Computer Visionen
local.subject.seo2008890299 Computer Software and Services not elsewhere classifieden
local.subject.seo2008810199 Defence not elsewhere classifieden
local.subject.seo2008810107 National Securityen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolScience and Technologyen
local.profile.emailcleedham@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20100415-145758en
local.publisher.placeUnited Kingdomen
local.format.startpage920en
local.format.endpage929en
local.identifier.scopusid35448964760en
local.peerreviewedYesen
local.identifier.volume41en
local.identifier.issue3en
local.contributor.lastnameWangen
local.contributor.lastnameLeedhamen
local.contributor.lastnameChoen
dc.identifier.staffune-id:cleedhamen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:8646en
dc.identifier.academiclevelAcademicen
local.title.maintitleMinutiae feature analysis for infrared hand vein pattern biometricsen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorWang, Lingyuen
local.search.authorLeedham, Grahamen
local.search.authorCho, David Siu-Yeungen
local.uneassociationUnknownen
local.year.published2008en
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