Person Identification for Access Control using NIR Hand Vein Imaging

Student thesis: Master thesis (including HD thesis)

  • Morten Bojesen Bonderup
Physical access control systems which
rely on physical access tokens such as
keycards, chips or mechanical keys are
widely used. The use of physical access
tokens can however in some scenarios
cause issues. One example is care homes
for elderly or dementia patients. At such
facilities the residents may not be capable
of handling these physical access tokens,
they may lose them or forget them.
Therefore it can be difficult to apply
access control on residents private rooms.
A way of solving the issues of physical
access tokens is to use a biometric access
control systems.
Most current biometric access con-
trol system do however rely on active
interaction from the users and may be
only applicable for two-factor authenti-
cation. Such system will therefore not
solve all issues regarding physical access
tokens, as such system will instead require
training or developing new habits.
To address these issues the focus of
this project is to investigate the possi-
bilities of using hand vein recognition
for a biometric access control system. A
proof-of-concept is developed which uses
a CCTV camera and near infrared light to
capture hand vein images. Furthermore a
dataset of hand vein images is acquired
to test this proof-of-concept.
LanguageEnglish
Publication date2017
Number of pages43
External collaboratorACTAS
Thomas Christensen tlc@actas.dk
Other
ID: 259414925