Development of Iris Biometric Template Security Using Steganography
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Date
2018
Journal Title
Journal ISSN
Volume Title
Publisher
School of Engineering and Computing, University of the West of Scotland - Computing and Information Systems Journal, 22(3), 8 – 17
Abstract
Purpose: Traditional iris segmentation methods
and strategies regularly contain an exhaustive
search of a large parameter space, which is
sensitive to noise, time-consuming and no
longer secured enough. To address these
challenges, this paper proposes a secured iris
template.
Approach: This paper proposes a technique to
secure the iris template using steganography. The
experimental analysis was carried out on matrix
laboratory (MATLABR2015A) environment. The
segmented iris region was normalized to decrease
the dimensional inconsistencies between iris region
areas with the aid of the usage of Hough transform
(HT). The features of the iris were encoded by
convolving the normalized iris region with 1D Log-
Gabor filters in order to generate a bit-wise
biometric template. Then, least significant bit
(LSB) was used to secure the iris template. The
Hamming distance was chosen as a matching
metric, which gives the measure of how many bits
disagreed between the templates of the iris.
Findings: The system operated at a very good
training time and high level of conditional testing
signifying high optimization with recognition
accuracy of 92% and error of 1.7%. The proposed
system is reliable, secure and efficient with the
computational complexity significantly reduced.
Originality/value: The proposed technique
provides an efficient approach for securing the iris
template.
Keywords: Biometric, Iris Recognition System
(IRS), Least significant bit (LSB), Hough
Transform, 1D Log-Gabor filters