JCP 2010 Vol.5(3): 372-379 ISSN: 1796-203X
doi: 10.4304/jcp.5.3.372-379
doi: 10.4304/jcp.5.3.372-379
Audio Watermarking Using Pseudorandom Sequences Based on Biometric Templates
Malay Kishore Dutta1, Phalguni Gupta2, and Vinay K. Pathak3
1 Department of Electronics Engineering, GCET, Greater Noida, India.
2 Department of Computer Science and Engineering, IIT – Kanpur, India.
3 Department of Computer Science and Engineering, HBTI – Kanpur, India.
Abstract—This paper proposes an efficient watermark generation method for audio copyright protection and digital right management. It proposes a method of generating pseudorandom sequences based on iris image templates. These biometric generated sequences (bio-keys) are found to be unique for distinct identification purposes. These bio-keys are used as the watermark for audio signals. The correlation of the extracted bio-key with a database of 150 bio-keys reveals that the best correlation is 1 while the next best correlation is less than 0.4 under no attack condition. Even under serious signal processing attacks, the bio-keys have distinctly been identified and mapped in a database. Experimental results of listening evaluation and robustness tests have confirmed that the use of bio-keys maintains good perceptual property and offers strong resistance to the typical signal processing attacks.
Index Terms—Audio Watermarking, Iris Recognition, Perceptual Transparency, Digital Right Management.
2 Department of Computer Science and Engineering, IIT – Kanpur, India.
3 Department of Computer Science and Engineering, HBTI – Kanpur, India.
Abstract—This paper proposes an efficient watermark generation method for audio copyright protection and digital right management. It proposes a method of generating pseudorandom sequences based on iris image templates. These biometric generated sequences (bio-keys) are found to be unique for distinct identification purposes. These bio-keys are used as the watermark for audio signals. The correlation of the extracted bio-key with a database of 150 bio-keys reveals that the best correlation is 1 while the next best correlation is less than 0.4 under no attack condition. Even under serious signal processing attacks, the bio-keys have distinctly been identified and mapped in a database. Experimental results of listening evaluation and robustness tests have confirmed that the use of bio-keys maintains good perceptual property and offers strong resistance to the typical signal processing attacks.
Index Terms—Audio Watermarking, Iris Recognition, Perceptual Transparency, Digital Right Management.
Cite: Malay Kishore Dutta, Phalguni Gupta, and Vinay K. Pathak, " Audio Watermarking Using Pseudorandom Sequences Based on Biometric Templates," Journal of Computers vol. 5, no. 3, pp. 372-379, 2010.
General Information
ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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