Biometric Based Unique Key Generation for Authentic Audio Watermarking

Authors:
Malay Kishore Dutta;Phalguni Gupta;Vinay K. Pathak
Affiliations:
Department of Electronics and Communication Engineering, Galgotias College of Engineering and Technology, Greater NOIDA, India;Department of CSE, IIT-Kanpur, India;Department of CSE, HBTI, Kanpur, India
Venue:
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Year:
2009

Citing 7
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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.