基于Gabor滤波器的改进虹膜识别系统

2009 IEEE International Conference on Network Infrastructure and Digital Content Pub Date : 2009-12-31 DOI:10.1109/ICNIDC.2009.5360867

Hui Zheng, Fei Su

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引用次数: 7

摘要

提出了一种基于偶对称Gabor小波的改进虹膜识别系统。在虹膜图像预处理中，提出了一种有效的分割和眼睑遮挡检测方法。在识别过程中，仅使用复二维Gabor滤波器的虚部进行编码，编码长度较短，但不影响识别性能。同时提出了一种简单有效的滤波器参数选择方案。在CASIA1.0和ICE 2005数据库上的实验结果清楚地表明，我们改进的方法可以在短码长的情况下实现高精度的虹膜识别。

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An improved iris recognition system based on Gabor filters

An improved iris recognition system based on even symmetry Gabor wavelet is proposed in this paper. In iris image preprocess, an effective segmentation and eyelids occlusion detection approach are introduced. During recognition, only the imaginary part of complex 2-D Gabor filter is used in coding for shorter code length but without affecting the recognition performance. A simple effective filter parameters selection scheme is proposed at the same time. Experimental results on CASIA1.0 and ICE 2005 databases clearly demonstrate that our improved methods can achieve highly accurate iris recognition with a short code length.

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2009 IEEE International Conference on Network Infrastructure and Digital Content

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