An Improved Image Scrambling Algorithm Using {2 n -1, 2 n , 2 n +1}
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Date
2018-10-01
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University of the West of Scotland, School of Computing
Abstract
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. 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.
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. The proposed technique provides an efficient approach for securing the iris template.
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Oyinloye, D. P., & Gbolagade, K. A. (2018). An Improved Image Scrambling Algorithm Using {2 n-1, 2 n, 2 n+ 1}. Computing & Information Systems, 22(3).