一种虹膜提取算法

2010 2nd International Conference on Image Processing Theory, Tools and Applications Pub Date : 2010-07-07 DOI:10.1109/IPTA.2010.5586756

Tomáš Fabián, Jan Gaura, Petr Kotas

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引用次数: 4

摘要

本文提出了一种检测数字图像中虹膜的新方法。我们的方法简单而有效。在寻找边缘边界时采用统计的观点，在寻找瞳孔边界时采用分析的方法。它可以用三个简单的步骤来描述;首先，检测瞳孔内部的亮点;其次，通过外边界点的统计测量得到外边缘边界;第三，利用定义的成本函数极大化方法寻找内边界点。在一系列虹膜近距离图像上评价了该方法的性能，并与传统的霍夫方法进行了比较。

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An algorithm for iris extraction

In this paper, we describe a new method for detecting iris in digital images. Our method is simple yet effective. It is based on statistical point of view when searching for limbic boundary and rather analytical approach when detecting pupillary boundary. It can be described in three simple steps; firstly, the bright point inside the pupil is detected; secondly, outer limbic boundary is found via statistical measurements of outer boundary points; and thirdly, inner boundary points are found by means of defined cost function maximization. Performance of the presented method is evaluated on series of iris close-up images and compared with the traditional Hough method as well.

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2010 2nd International Conference on Image Processing Theory, Tools and Applications

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