Abstract
Iris recognition usually contains iris location, feature extraction and identification. The proposed algorithm firstly uses the combined method of wavelet analysis and equation of circle to identify iris inner edge. Then, the circular detection operator method is applied to identify iris outer edge. After the iris precise location, the iris recognition method based on wavelet packet decomposition and RBF neural network is proposed. The experiment images are provided by the CASIA iris database. The experimental results show the effectiveness of the proposed algorithm. Also the speed and the accuracy of iris recognition are improved. The proposed algorithm provides a new way for iris recognition.
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