An Improved Palm Vein Based Recognition System
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Date
2016-07-20
Journal Title
Journal ISSN
Volume Title
Publisher
International Journal of Computing and ICT Research
Abstract
Though biometrics techniques has been recording high level of security when compared with
other forms of authentication, it still come with challenges of speed and accuracy of the
technique been used. In this paper an improved palm vein based recognition system was
developed and implemented. The development procedure was divided into four stages which
are Image enhancement, Image segmentation, Image thinning and Pattern Matching. The Image
was enhanced using Histogram Equalization, after which it was passed for Segmentation by KMeans
algorithm.
The
binarized
image
from
K-Means
was
then
thinned
using
the
Zhang
Suen’s
algorithm.
The
Pattern
Matching
section
of
the
project
was
done
using
the
Euclidean
Distance.
Inter-distances
of the intersections from the thinned image were stored in a database for
subsequent matching. Results from the various test carried out showed that the system has high
speed and accuracy.
Keywords: Palm vein verification, enhancement, segmentation, thinning, pattern
matching