Design of Contactless Hand Biometric System With Relative Geometric Parameters
Abstract: The main concern in
contactless biometric system is the position of the hand that may vary
relatively to camera. This variation of position result
in different parameters
of hand geometry
captured from the
same person, in
different time, which
is a serious problem in
identification process. This
paper presents a
novel contactless biometric
verification system based
on relative geometric parameters
of the hand,
as the biometric
feature. A webcam
captured color image
of the hand,
which will be transformed into
binary image for
segmentation, based on
thresholding technique. Binary
image was extracted
to get nine absolute
geometrical sizes. The
relative geometric parameters
derived from ratios
between those geometrical
sizes were calculated. Feature
extraction was processed by scanning technique. Matching was conducted based on
match score, which is the output result by feeding relative geometric
parameters to backpropagation-trained artificial neural network. Our design
provided accuracy of 87.237%,
precision of 85.798%,
False Match Rate
(FMR) of 14.780%,
and False Non
Match Rate (FNMR)
of 10.747%.
Author: A. Siswanto, P.
Tarigan1, and F. Fahmi
Journal Code: jptkomputergg130003
