Understanding and Modelling the Vascular Biometric Imaging Procedure

Muriel van der Spek, Luuk Spreeuwers

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)
58 Downloads (Pure)

Abstract

In near-infrared finger vascular biometric images, several structures are visible, from which the exact origin is unknown. These include the appearance of the vessel projection, and the brightness of the two joints and the dark area between the joints. To understand the origin of these elements, the imaging procedure is mimicked using a simplified mathematical model of the finger. This model creates images similar to real finger vascular images incorporating basic anatomy and optical properties. The vessels appear vague, because the projection is actually a shadow caused by the strong scattering of the bone. The intensity of the finger (besides the vessels) is directly dependent on both tissue consistency (amount of absorption/scattering) and finger anatomy (path length of the photons). This research gives an insight on the vascular imaging procedure and this knowledge can be used in future research on vascular biometric identification, by incorporating additional features from the images.

Original languageEnglish
Title of host publication 2022 International Conference of the Biometrics Special Interest Group (BIOSIG)
EditorsArslan Bromme, Naser Damer, Marta Gomez-Barrero, Kiran Raja, Christian Rathgeb, Ana F. Sequeira, Massimiliano Todisco, Andreas Uhl
PublisherIEEE
ISBN (Electronic)9783885797234
DOIs
Publication statusPublished - 2022
Event21st International Conference of the Biometrics Special Interest Group, BIOSIG 2022 - Darmstadt, Germany
Duration: 14 Sept 202216 Sept 2022
Conference number: 21

Conference

Conference21st International Conference of the Biometrics Special Interest Group, BIOSIG 2022
Abbreviated titleBIOSIG 2022
Country/TerritoryGermany
CityDarmstadt
Period14/09/2216/09/22

Keywords

  • effective attenuation coefficient
  • finger vein images
  • Maximum Curvature
  • UTFVP dataset
  • vascular biometrics
  • 2023 OA procedure

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