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《Opto-Electronic Engineering》 2007-12
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Iris recognition based on multichannel Gabor filtering and feature fusion

WANG Feng-hua,YAO Xiang-hua,HAN Jiu-qiang ( School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China )  
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.
【Fund】: 国家自然科学基金资助项目(60502021);; 教育部高等学校博士学科点专项科研基金资助项目(20050698025)
【CateGory Index】: TP391.41
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【References】
Chinese Journal Full-text Database 1 Hits
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【Co-references】
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