Wavelets Selection for Vein Pattern Extraction

Authors

  • M Kavya BNMIT, Bangalore, India
  • J P Anuradha BNMIT, Bangalore, India

Keywords:

Wavelet, Transform, Haar, Dmey, Bior

Abstract

Palm vein recognition is a new biometric system which can be applied as a method for access control by many organizations, but this has even further potential in the field of forensics. The Palm vein pattern are difficult to forge. Here, in the verge of developing an algorithm for vein pattern extraction for biometric system the first and foremost step is to obtain the palm image where the veins are visible for experimenting. And when the images obtained has varied intensities throughout the image then the image compression has to done to further proceed in the other pre- processing step in vein pattern extraction. The image compression process has been done here using Wavelet transform and the different wavelets are investigated on the obtained images and among all the wavelets the best wavelet has been found.

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Published

2017-07-05

How to Cite

[1]
M. Kavya and J. P. Anuradha, “Wavelets Selection for Vein Pattern Extraction”, pices, vol. 1, no. 3, pp. 27-29, Jul. 2017.