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A robust technique for biometric image authentication using invisible watermarking

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Abstract

In the present digital era, the number of ways to misuse multimedia data increases day by day. The availability of high image editing tools can change the image so it becomes challenging to predict the data. Watermarking is one of the techniques which can protect the identity of users. This is a highly secured method to protect digital images. In the presented paper, we suggested a more robust image watermarking approach using DWT-SVD with Chaotic encryption. This work mainly focuses on the protection of biometric images. The entropy map (blocks of 4 × 4) is estimated to apply for 2D discrete wavelet transformation (DWT). The LL band is considered for the watermark embedding process because of holding more information about the original image. Further, an orthogonal matrix is obtained using (Singular value decomposition) SVD and edge entropy-based thresholding is used. The chaotic encryption is performed over a watermark image. The encrypted form of copyright image is used to embed into that orthogonal matrix for performing watermarking. The results evaluated using fingerprints and gait biometrics datasets show the robustness of the proposed approach. The performance of the technique is evaluated using BER, PSNR and NC. The watermark is less fragile after testing under various noise and geometrical attacks. The technique’s performance is also compared with recent techniques in this domain, where the proposed method outperforms.

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Authors and Affiliations

  1. Department of Computer Science, Banasthali Vidyapeeth, Tonk, Rajasthan, Tonk, India

    Payal Garg & Ajit Jain

  2. Department of Computer Science and Engineering, G L Bajaj Institute of Technology and Management, Greater Noida, India

    Payal Garg

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  1. Payal Garg
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  2. Ajit Jain
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Correspondence to Payal Garg.

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Garg, P., Jain, A. A robust technique for biometric image authentication using invisible watermarking. Multimed Tools Appl 82, 2237–2253 (2023). https://doi.org/10.1007/s11042-022-13314-z

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  • DOI: https://doi.org/10.1007/s11042-022-13314-z

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