Open AccessUnderstanding and modeling finger vascular pattern imaging
Author(s) -
Normakristagaluh Pesigrihastamadya,
Laanstra Geert Jan,
Spreeuwers Luuk,
Veldhuis Raymond
Publication year - 2022
Publication title -
iet image processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 45
eISSN - 1751-9667
pISSN - 1751-9659
DOI - 10.1049/ipr2.12408
Subject(s) - imaging phantom , computer science , process (computing) , ground truth , artificial intelligence , computer vision , near infrared spectroscopy , optical imaging , biomedical engineering , medicine , optics , radiology , physics , operating system
In this paper, new insights in the near infrared imaging process used in finger‐vein recognition by developing a physical model are presented. A realistic phantom finger that mimics the living human finger and also includes veins has been developed to validate this model. NIR phantom finger images show that the phantom can emulate the optical properties of a living human finger and can provide ground truth for the locations of the veins. Through physical modeling, it is particularly learned that—besides blood and soft tissue—bone also plays an important role in generating reliable NIR finger‐vein images.