Abstract
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.
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Dutta, M.K., Gupta, P., Pathak, V.K. (2009). Biometric Based Unique Key Generation for Authentic Audio Watermarking. In: Chaudhury, S., Mitra, S., Murthy, C.A., Sastry, P.S., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2009. Lecture Notes in Computer Science, vol 5909. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11164-8_74
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DOI: https://doi.org/10.1007/978-3-642-11164-8_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11163-1
Online ISBN: 978-3-642-11164-8
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