Generation of biometric based unique digital watermark from iris image

Abstract

This paper proposes a proficient digital watermark generation technique from biometric data which will be unique and can be logically owned to prove ownership. The biometric pattern of iris is used to generate the digital watermark that has a clear stamp of ownership. The generated watermark has been studied for uniqueness and identification and has been used to watermark audio signals. Dither modulation quantization is applied on the singular values of Singular Value Decomposition domain for embedding the watermark. Experimental results indicates that the watermark can survive the signal processing attacks such as Gaussian noise corruption, re-sampling, re-quantization, cropping, and compression and maintain the perceptual properties of the host signal and hence satisfies the design requirements of digital watermarking. The extracted biometric based watermark was uniquely identified under signal processing attacks.