Iris recognition system using wavelet packet and support vector machines

In this paper, iris recognition system using wavelet packet and support vector machines is presented. It specifically uses the multiresolution decomposition of 2-D discrete wavelet packet transform for extracting the unique features from the acquired iris image. This method of feature extraction is well suited to describe the shape of the iris while allowing the algorithm to be translation and rotation invariant. The SVM approach for comparing the similarity between the similar and different irises can be assessed to have the feature's discriminative power. We have showed that the proposed method for human iris recognition gave a way of representing iris patterns in an efficient manner and thus had advantages of saving both time and space. Thanks to the efficiency of the proposed method, it can be easily applied to the real problems.