Title: Multilevel watermarking technique for securing multibiometric templates using DTCWT and SVD

Authors: Manonmani Panneerselvam; R. Divya; V. Vijayalakshmi

Addresses: ECE Department, Pondicherry Engineering College, Puducherry ' ECE Department, Pondicherry Engineering College, Puducherry ' ECE Department, Pondicherry Engineering College, Puducherry

Abstract: The proposed multibiometric technique implements finger vein as an additional biometric trait along with fingerprint and iris. Finger vein is non-invasive in nature and increases security. In addition, in order to overcome spoofing attack on system database of multibiometric system template, the existing system further focuses on securing the Biometric template by implementing Digital watermarking technique. Watermarking is carried out by using Singular Value Decomposition (SVD) and Discrete Wavelet Transform (DWT) techniques. The performance metrics such as PSNR, NCC and SSIM is simulated using MATLAB tool. The Existing technique is not robust against JPEG compression, median filtering and noise addition like Gaussian noise, salt & pepper noise etc., and also the Discrete Wavelet Transform has Lack of Shift Invariance problem. To overcome this problem, this project is implemented with Dual Tree Complex Wavelet Transform (DTCWT) in multilevel watermarking technique. The advantage of Dual Tree Complex Wavelet Transform improves denoising performance. The Authentication is implemented to prove the security. The performance metrics such as PSNR, NCC and SSIM is simulated using MATLAB for the Dual Tree Complex Wavelet Transform (DTCWT) and the security measures parameters like FAR, FRR, System Accuracy and the ROC comparison curve of the DWT and DTCWT are obtained.

Keywords: digital watermarking; discrete wavelet transform; dual-tree complex wavelet transform; multibiometric; multibiometric authentication; singular value decomposition; template security.

DOI: 10.1504/IJIM.2017.085321

International Journal of Image Mining, 2017 Vol.2 No.3/4, pp.277 - 291

Received: 26 May 2016
Accepted: 28 Dec 2016
Published online: 21 Jul 2017 *

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