Iris recognition using curvelet transform and accuracy maximization by particle swarm optimization

This study proposes a low complexity iris recognition technique using particle swarm optimization in the curvelet domain transformation. We utilize the standard CASIA-Iris V4 database to test the performance of our proposed method as compared to other state-of-the-art methods. The proposed method provides 99.4% accuracy in recognizing iris images. In addition, our proposed method requires 50% less computational time compared to other state-of-the-art methods.