SISTEM PENGENALAN IRIS MATA BERDASAR TEKSTUR MENGGUNAKAN EKSTRAKSI CIRI ENERGI PADA ALIHRAGAM WAVELET HAAR
Abstract: Human iris
has a very
unique pattern which is
different for each
person so it
is possible to use
it as a
basic of biometric
recognition. To identify texture in
an image, texture
analysis method can be
used. There is
some texture analysis
method, one of them is wavelet that extract the feature
of image based on energy. The
texture analysis using
energy features which are in the
wavelet transform. Based on
that reason, in
this research made a
simulation to identified
eyes iris based
on Haar wavelet transform.
First, the image
of iris is segmented
from eye image
then enhanced with histogram equalization. The method used
to extract the feature is Haar
wavelet transform. The
features obtained is energy
value. The next
step is recognition using normalized
Euclidean distance. Four experiments are
done in the
research, those are influence
of number of
sample in database,
influence of Haar wavelet transform level, influence of different input image
format and testing
on eye images
which are not in database.
As the result,
the highest accuration
is achieved using Haar wavelet
transform level 4 with two samples iris
image saved is
85,58%. The lowest
accuration is achieved using
Haar wavelet transform
level 1 with one sample iris image saved is 65,27%.
Then, from the test result for the influence
of different input
image format, the .bmp input image format is better than .jpg input image
format. Whereas, from
the test result
for eye images which
are not in
database with threshold 2,3653, the recognition level is
81,48%.
Penulis: R. Rizal Isnanto, Imam Santoso, Teguh Dwi Prihartono, Thomas
Sri Widodo, Suhardjo, Adhi Susanto
Kode Jurnal: jptkomputerdd120162
