Title: A novel approach to secure biometric data using integer wavelet transform, chaotic sequences and improved logistic system-based watermarking

Authors: Payal Garg; Ajit Jain

Addresses: Department of Computer Science, Banasthali Vidyapith, Tonk, Rajasthan, India; Department of Computer Science and Engineering, G L Bajaj Institute of Technology and Management, Greater Noida, India ' Department of Computer Science, Banasthali Vidyapith, Tonk, Rajasthan, India

Abstract: Watermarking can be used for security as no one carries files or documents around anymore. Digital watermarking is the technique of embedding information in available digital content used for authentication. In some watermarking schemes, there are cases where a user can see some distortion after embedding and extracting the watermark, which is objectionable (distortion in an image can be identified with the naked eye). To retain integrity a watermarking algorithm is applied that uses Integer Wavelet Transforms (IWT), chaotic sequences for biometric images in an Improved Logistic System (ILS) which must be of high capacity and Least Significant Bits (ICIL). In such schemes, users can see some distortion, which is objectionable. In standard, insertion of the watermark is done by changing the grey level of some of the pixels but is not effective against robust attacks. By this algorithm, one can achieve high-level security using chaotic sequences for watermark encryption. The proposed work was tested using data sets such as CASIA-v5 and Kaggle-Fundu and evaluated on various parameters, namely, PSNR, NC and BER. When compared to others, a high imperceptibility with an average PSNR of 52.39 dB is significantly more resilient against different attacks.

Keywords: watermarking; biometrics; medical data security; data embedding; chaotic maps; IWS.

DOI: 10.1504/IJCAT.2023.132407

International Journal of Computer Applications in Technology, 2023 Vol.71 No.4, pp.340 - 351

Received: 06 Jul 2022
Received in revised form: 07 Sep 2022
Accepted: 22 Sep 2022
Published online: 19 Jul 2023 *

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