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Wavefront Coding for Iris Recognition

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  • R. Subha
  • M.Pushpa Rani

Abstract

Iris recognition can offer high-accuracy person identification, particularly when the acquired iris image is well focused. Iris identification is one of the most eye-catching approaches due to its nature of randomness, texture stability over a life time, high entropy density and non-invasive acquisition. While the performance of iris identification on high quality image is well investigated, not too many studies addressed that how iris recognition performs subject to non-ideal image data, especially when the data is acquired in challenging conditions, such as long working distance, dynamical movement of subjects, uncontrolled illumination conditions and so on. This presents the overview of several of Wave front Coding for Iris Recognition.

Suggested Citation

  • R. Subha & M.Pushpa Rani, 2017. "Wavefront Coding for Iris Recognition," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(5), pages 89-92, October.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i5:id:hcseit17254
    Note: Article URL: https://ijsrcseit.com/CSEIT17254
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