Stationary Wavelet Transforms Based Robust Audio Watermarking for Authentication

In Current scenario internet technology used for releasing and distributing multimedia data over the web, because of this, it is necessary to maintain rights for copyright enforcement and identification. In the present context, the entertainment industry is suffering from financial loss. Hence, the entire music industry is looking for a practical solution that contradicts the work of the owner. We propose in this paper a blind digital audio watermarking technique using biometric traits as a watermark, patchwork method and stationary wavelet transform to enhance and enrich performance characteristics such as piracy, security, imperceptibility, robustness, and computational complexity. In the proposed work, patches and sub patches are created based on selected desired frequency coefficient, which helps for embedding watermark and achieves better performance parameter value. The implanting efficiency of the suggested method is measured at 8 – 9 bps with less computational complexity, and the Bit error rate is near about less than 1 with average SNR more than 24 dB. Experimental outcomes validate that the recovered biometric watermark can be uniquely distinguished in the iris database, even under different attack circumstances.