Iris Biometric Watermarking Using Hybrid Transforms

Authors

  • Aksharasree Anupoju REVA ITM, Bangalore, India
  • R Anupama REVA ITM, Bangalore, India
  • B M Shruthi Brindavan College of Engineering, Bangalore, India

Keywords:

Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), Singular Value Decomposition (SVD), Iris biometric, Watermarking

Abstract

With the growing popularity of internet, it has become very simple for intruders to amend and generate illegal multimedia data contents. Various techniques of copyright protection of free data are evolved every day. Digital image watermarking is one such technique, where a watermark is digital embedded into the data to be protected. Here, biometric used is iris of a human eye and it is normalised and pre-processed with Discrete Cosine Transform (DCT) to obtain discrete values. An image to be protected is considered and Discrete Wavelet transforms (DWT) and Singular Value Decomposition (SVD) are used to implement the invisible watermarking along with a biometric. The usage of biometric instead of the traditional watermark increases the security of the image data. After the retinal scan, iris is the most unique biometric.

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Published

2018-03-05

How to Cite

[1]
A. Anupoju, R. Anupama, and B. M. Shruthi, “Iris Biometric Watermarking Using Hybrid Transforms”, pices, vol. 1, no. 11, pp. 174-178, Mar. 2018.