Iris recognition based on multichannel Gabor filtering and feature fusion
Jiuqiang Han · Guangdian gongcheng · 2007
To reduce redundancy of multichannel Gabor features, an approach based on feature-level fusion is proposed. Multiple Gabor features in the same scale with different orientations are fused by using the magnitude information, and the iris codes are generated based on the phase information. The similarity of two iris codes is measured by their hamming distance. Compared with traditional non-fusion approach, the proposed approach has the same high recognition performance, but the size of the iris codes in the proposed approach is only a half of the traditional one. In addition, a method for iris image quality estimate is presented, which can discriminate the images unsuitable for iris recognition. The experimental results show that the proposed approach is effective.