Analysis of Effect of Compressive Sensing Theory and Watermarking on Verification and Authentication Performance of Multibiometric System

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 3

Abstract

Abstract: In this paper, watermarking technique with compressive sensing theory have been analysed for security of biometric image against imposter manipulations in the multibiometric system. The compressive sensing theory is used for providing security to watermark biometric image before embedded into the host biometric image. These proposed watermarking techniques can be embedded sparse information of the watermark biometric image into transform coefficients of a host biometric image. The various watermarking techniques with sparsity property of compressive sensing theory have been designed for providing security to biometric image in multibiometric system. The proposed multibiometric system is formed by using watermarked biometric image based system and reconstructed watermark biometric image based system. The experimental results show that verification performance and authentication performance of proposed multibiometric system does not affected due to these proposed watermarking techniques. This proposed multibiometric system can be used for high security applications.

Authors and Affiliations

Rohit Thanki , Ved Vyas Dwivedi , Komal Borisagar

Keywords

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  • EP ID EP138691
  • DOI -
  • Views 82
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How To Cite

Rohit Thanki, Ved Vyas Dwivedi, Komal Borisagar (2016). Analysis of Effect of Compressive Sensing Theory and Watermarking on Verification and Authentication Performance of Multibiometric System. IOSR Journals (IOSR Journal of Computer Engineering), 18(3), 29-39. https://europub.co.uk/articles/-A-138691