Iris recognition based on weighted Gabor filter
Li H.-L., Guo L.-H., Wang X.-Z., Li X.-M., Dong Y.-F., Fang Y.-C. · 2014
In order to improve recognition rate of the iris recognition system, the Gabor filter is studied, and the weighted Hamming distance based on analytic hierarchy process is proposed. First, the feature image is generated through different scales and directions of the odd symmetric Gabor filter. Then, the recognition correct rate and error rate are acquired by Hamming distance matching. The appropriate scale and direction are selected to calculate the weighted Hamming distance. The weight is calculated by analytic hierarchy process. Finally, the weighted Hamming distance is used to iris recognition. The equal error rate of CASIA2.0 and MMU1 are decreased by 0.64% and 0.56%, respectively. The experimental results show that this method has better recognition performance and robustness.