Level Set Approaches and Adaptive Asymmetrical SVMs Applied for Nonideal Iris Recognition

@inproceedings{Roy2009LevelSA,
  title={Level Set Approaches and Adaptive Asymmetrical SVMs Applied for Nonideal Iris Recognition},
  author={Kaushik Roy and Prabir Bhattacharya},
  booktitle={ICIAR},
  year={2009}
}
In this paper, we present algorithms for iris segmentation, feature extraction and selection, and iris pattern matching. To segment the nonideal iris images accurately, we propose level set based curve evolution approaches using the edge-stopping function and the energy minimization algorithm. Daubechies Wavelet Transform (DBWT) is used to extract the textural features, and Support Vector Machine-Recursive Feature Elimination (SVM-RFE) algorithm is deployed to reduce the feature dimension… CONTINUE READING

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