双多通道虹膜识别系统的研究

The research on the dual multichannel iris recognition system

在双多通道虹膜识别系统中,研究了局部区域通道对识别率的影响,提出了双向式区域划分和通道数的优化。研究了小波滤波器通道对识别能力的影响和滤波器通道的选择,给出了引入小波包通道来提升识别率的新方法。通过对WED(Weighted Euclidean Distance)分类器的改进研究,提出了相对WED分类器的新概念,进一步提高了系统的识别能力。

The analysis and improvement of the dual multichannel iris recognition system are provided. After obtaining the relation between the local region channels and identification rate, the two directional channel separation and the optimization of local region channel are discussed. The influences of wavelet filter channels on the recognition performance are studied. Based on the conclusion of filter channel selection, wavelet packet channels are introduced for better performance. The relative Weighted Euclidean Distance（WED） classifier is proposed as an improvement of the classifier.