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中文摘要：
利用彩色虹膜数据库研究了在正常环境下采集到的有噪声的虹膜图像在不同色度空间中各颜色通道的性能,提出了一种决策层融合方法,利用加权K近邻方法和加权投票相结合进行虹膜识别.对于每个单独的颜色通道,根据比对距离找到前K个近邻,利用排序与相似度相结合的方法为这K个近邻赋权值（RSWKNN）,作为各通道的决策输出.在综合各通道的决策时,利用各通道的性能,对各通道的决策输出进行加权投票,本文采用了四种基于通道性能的各通道加权方法.实验分析了各种算法的性能,结果表明：本方法能够有效提高虹膜识别的准确率和稳定性.
英文摘要：
This paper studied the performance of iris recognition based on the color channels from different color spaces using the color image iris dataset,which is characterized by the fact that many of the images were captured under real conditions so as to incorporate some kinds of noise purposely.Then it proposes a decision level data fusion method for iris recognition,which combines Weighted K-Nearest Neighbor and Weighted Majority Voting method.For each channel,the system finds the first K nearest neighbors according to the distance,and then set weights for them employing an algorithm namely RSWKNN as the output of the channel.After that,the weights are weighted summed according to the performance of each channel.This paper proposed an algorithm to calculate the weights of the K neighbors,and four methods for the weights of each channel.The experiments show that,this method can improve the performance of iris recognition effectively.
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