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一种改进的虹膜图像分割算法 被引量:1

Iris Segmentation from Human Eye Image
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摘要 如何迅速、准确地分割虹膜区域是基于虹膜图像的身份鉴别技术的一个研究热点和难点。本文结合虹膜图像的特点,在内边缘的定位中采用了阈值化结合最小二乘估计的方法;对外边缘和眼睑的边缘图进行预处理,并改进了Hough变换的决策方法,准确而快速地分割出虹膜区域。 How to segment the iris region from the eye image quickly and exactly is one of the research focus and difficulties of the human identification based on iris recognition technology. The paper analyzes the eye image, takes the idea of Gray-level Thresholding with Least Square Estimate to locate the inner boundary of iris, preprocesses the edge map used to locate the outer boundary of iris and the boundary of eyelid, and improves the decision method of Hough transform, then quickly and exactly segment out the iris region from eye image.
出处 《微计算机应用》 2007年第3期270-274,共5页 Microcomputer Applications
关键词 身份鉴别 虹膜识别 图像分割 human identification, iris recognition,image segmentation
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参考文献7

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  • 7傅德胜,张迪.模糊决策在指纹识别算法中的应用[J].微计算机应用,2003,24(5):260-263. 被引量:2

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