一种新的虹膜分割识别方法

Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. Pub Date : 2004-08-23 DOI:10.1109/ICPR.2004.1334589

Junzhou Huang, Yunhong Wang, T. Tan, Jiali Cui

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引用次数: 151

摘要

作为虹膜识别的第一阶段，虹膜分割对虹膜识别系统至关重要。如果分割不正确，分割后的虹膜区域可能存在睫毛、眼睑、反射和瞳孔四种噪声，导致识别效果不佳。提出了一种基于边缘和区域信息融合的图像去噪方法。整个过程包括三个步骤:1)粗略定位和归一化，2)基于相一致性的边缘信息提取，3)边缘和区域信息的注入。在2,096张图像上的实验结果表明，该方法在提高图像识别精度方面取得了令人鼓舞的效果。

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A new iris segmentation method for recognition

As the first stage, iris segmentation is very important for an iris recognition system. If the iris regions were not correctly segmented, there would possibly exist four kinds of noises in segmented iris regions: eyelashes, eyelids, reflections and pupil, which result in poor recognition performance. This paper proposes a new noise-removing approach based on the fusion of edge and region information. The whole procedure includes three steps: 1) rough localization and normalization, 2) edge information extraction based on phase congruency, and 3) the infusion of edge and region information. Experimental results on a set of 2,096 images show that the proposed method has encouraging performance for improving the recognition accuracy.

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Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.

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