Blind watermarking in audio signals using biometric features in wavelet domain

The issue of ownership of digital watermark is addressed in this paper. An audio watermarking scheme is presented where the biometric pattern of iris is used to generate the watermark that has a stamp of ownership. The watermark is embedded in the high-energy regions selectively in wavelet domain that makes the embedding process robust against signal processing attacks. The watermark extraction process is blind and does not require the original host audio signal. Experimental results of listening evaluation and robustness tests have confirmed that the proposed scheme maintains good perceptual property and offers strong resistance to typical signal processing attacks.