计算机科学 ›› 2012, Vol. 39 ›› Issue (Z11): 384-385.
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康景磊，郭业才
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摘要： 为了克服传统的虹膜定位算法准确率不高的缺点，提出了一种基于蚁群和Hough变换的虹膜定位算法。该算法首先利用梯度信息在虹膜边缘处的直观响应作为启发因素，引导蚁群搜索虹膜边缘。然后蚂蚁根据路径上的不断更新增大的信息素，搜索虹膜的内外边缘的像素点。最后通过Otsu阂值和Hough变换确定出虹膜内外边界。实验表明，该算法能够有效、快速地定位出虹膜的内外边界。
关键词: 蚁群算法，Hough变换，虹膜定位
Abstract: In order to improve the speed and the precision of iris location, iris location algorithm based on ant colony and Hough transform was proposed. In the algorithm,the ants search iris edge by the gradient information of iris edge. And then, the boundary-points of iris are gotten according to the constantly increasing pheromone on the path which ants passed through. At last, we can locate the iris in the original image by Otsu threshold and Hough Transform method.The results of experiments show that the proposed algorithm can locate iris accurately and quickly.
Key words: Ant colony algorithm, Hough transform, Iris location
康景磊，郭业才. 基于蚁群和Hough变换的虹膜定位算法[J]. 计算机科学, 2012, 39(Z11): 384-385. https://doi.org/
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