Biometric Based Unique Key Generation for Authentic Audio Watermarking
This paper proposes a method of generating pseudorandom number sequences based on biometric templates of iris image. These sequences are found to be unique in nature. Such sequences can be stored in a database for distinct identification of the extracted keys and they can act as secret keys for audio watermarking with a stamp of ownership unlike arbitrary pseudorandom number sequences and chaotic sequences. Correlation scores achieved under signal processing attacks is more than 0.9 that is significant for identification.
KeywordsAudio watermarking Biometric based keys Perceptual transparency Digital rights management
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