Research Article Open Access

Efficient Feature Extraction Methodology using Wavelet Transform for the Development of Person Identification System using Iris Biometrics

Sulochana Sonkamble and Ravindra Thool

Abstract

Problem statement: We proposed a new method for feature extraction of an Iris image for personal identification system. Approach: This study purposed a new approach to extract the features of region of interest using the wavelet transform. The extracted Iris region could be normalizing into a rectangular block of fixed dimensions. The Gabor wavelet transform techniques had been applied on the data set to get feature vectors of an iris used for recognition. Results: Two Iris templates used for testing. The system performance score results in a false accept and false reject rate. Conclusion: The performance of the system “Efficient Feature Extraction Methodology Using wavelet transform for the development of personal identification system using iris biometrics” can be increased by training the more feature vectors of an extracted Iris images.

Journal of Computer Science
Volume 7 No. 9, 2011, 1353-1357

DOI: https://doi.org/10.3844/jcssp.2011.1353.1357

Submitted On: 20 January 2011 Published On: 23 July 2011

How to Cite: Sonkamble, S. & Thool, R. (2011). Efficient Feature Extraction Methodology using Wavelet Transform for the Development of Person Identification System using Iris Biometrics. Journal of Computer Science, 7(9), 1353-1357. https://doi.org/10.3844/jcssp.2011.1353.1357

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Keywords

  • Iris normalization
  • feature extraction
  • Gabor wavelet transform
  • person identification
  • iris biometrics
  • transform techniques
  • feature vectors
  • iris region
  • recognition system
  • proposed system