Analysis of Biometric Data Using Watermarking Techniques

2020 Turkish Journal of Electrical Engineering and Computer Sciences  
This paper evaluates and analyses the discrete wavelet transform (DWT) frequency bands for embedding 3 and extracting of the biometric data using DWT single-level and multilevel watermarking approach with and without the 4 use of alpha blending approach. In addition, singular value decomposition (SVD) combined with DWT is used to embed 5 and extract the watermark image. The performance of compression and decompression approaches has been analyzed 6 to examine the robustness and to check whether
more » ... nd to check whether the compression function does destroy the integrity of the watermarked 7 image. We investigate the proposed approach to understand how robust the watermarked on different sub-band is 8 against the image processing and geometric attacks. The experimental results show that the DWT multi-level and SVD 9 watermarking approach is more robust than the other watermarking methods implemented in this paper. The DWT 10 bands dominate the approximate coefficient band (LL) in high-intensity alpha value. When the intensity is reduced, the 11 coefficient standout to be very robust against the remaining bands. 12
doi:10.3906/elk-2002-155 fatcat:4cvxdglnnjbe5hcw3gvt3igzqu