Efficient Feature Extraction Methodology using Wavelet Transform for the Development of Person Identification System using Iris Biometrics
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.
DOI: https://doi.org/10.3844/jcssp.2011.1353.1357
Copyright: © 2011 Sulochana Sonkamble and Ravindra Thool. This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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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