Iris recognition based on support vector machine

@inproceedings{Shufan2006IrisRB,
  title={Iris recognition based on support vector machine},
  author={Yang Shu-fan},
  year={2006}
}
First the sampled iris images are preprocessed in the iris recognition system to get the stripe images.With the method of PCA,the features are extracted for reducing the dimension and a 40-dimention corresponded with a training sample.Then the iris recognition is carried out,with the Sequential Minimal Optimization(SMO),by using the Support Vector Machine(SVM).The mean recognition rate is about 94.3%,which shows that the recognition method decrease the training time and improve the training… CONTINUE READING

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