Palmprint recognition using Contourlet Transform Energy Features

@inproceedings{Vijilious2011PalmprintRU,
  title={Palmprint recognition using Contourlet Transform Energy Features},
  author={M. A. Leo Vijilious and V. Subbiah Bharathi},
  year={2011}
}
Palmprint recognition is an accepted and widely used biometric. Richness of feature and the less cost involved in acquisition make it more reliable and user friendly. The region of interest is extracted from the palmprint image as a preprocessing step. Contourlet transform, a pyramidal directional filter bank is then applied to capture both local and global details of the palmprint. The large number of coefficients generated from the contourlet transform are minimised as a dimensionality… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 21 references

The Contourlet Transform with the Principal Component Analysis for Palmprint Recognition

  • M Sharkas, El-Rube.I, Mostafa, M.A
  • International Conference on Computational…
  • 2010
1 Excerpt

M.A.Leo Vijilious,, L.Ganesan,, “Orthogonal Moments based Texture Analysis of CT Liver Images

  • V.Subbiah Bharathi
  • Seventh International Conference on Computational…
  • 2007

Vijilious.M.A, Ananth.J.P, “On Texture Analysis

  • Bharathi.V.S, Leo
  • Proceedings of the National conference on…
  • 2007

Similar Papers

Loading similar papers…