Iris recognition using Dynamic Programming Matching Pursuit
Yueh-Shiun Lee, Chung‐Lin Huang, Meng-Fen Ho, Wen‐Liang Huang · 2008
In this paper, we propose a new method named Dynamic Programming Based Matching Pursuit algorithm for iris-based personal identification. Based on the matching pursuit algorithm, it selects the most representative path to do iris recognition. Our system consists of identification and verification. Finally, we use the experimental results to demonstrate the efficacy of the proposed method and show that it attains a better ROC curve and faster speed than the conventional matching pursuit based iris recognition system.