Publication Details
On the fly biometric identification system using hand-geometry
Drahanský Martin, prof. Ing., Ph.D.
ABDULLA BARAZANCHI, W.
Classification (of information); Palmprint recognition
Fingerprint and face recognition systems, have become a norm due to mobile
technologies, but its application in general settings, such as automated border
gates using ePassports or at entrances to buildings or rooms are becoming popular
as well. Regrettably, where current biometry scanning technologies are reliably
suitable for single user devices, when hundreds or thousands of people need to be
processed, shortcomings emerge. The requirement to physically stop during
scanning, poses a limit to the number of people processed per a unit of time.
Additionally, as majority of these systems require physical contact, hygienic
concerns need to be considered, especially now in the aftermath of the COVID-19
pandemics. In this paper, we attempt to offer a solution to the issue of limited
throughput and hygienic concerns, by developing a biometric system that allows on
the fly identification. Using experimental setup of our design, we demonstrate
that hand related biometrics can be acquired on the fly. Furthermore, using
random decision forest classifier and database of over 560 unique images we
obtained using said device, we establish, that the system is a viable solution
for on the fly biometric identification.
@article{BUT168530,
author="DVOŘÁK, M. and DRAHANSKÝ, M. and ABDULLA BARAZANCHI, W.",
title="On the fly biometric identification system using hand-geometry",
journal="IET Biometrics",
year="2021",
volume="10",
number="3",
pages="315--325",
doi="10.1049/bme2.12024",
issn="2047-4938"
}