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基于统计的虹膜定位算法改进
An Improved Algorithms of Iris location Based on Statistic
【摘要】 由于目前基于统计的虹膜定位算法局限性,我们改进了这个虹膜定位的算法,利用二值化后灰度图像进行内边缘的粗定位,然后通过对直方图均衡后的图像提取虹膜的外边缘进行粗定位,最后利用Daugman算子的改进进行模板精定位。实验结果表明,该方法提高了准确度和速度。
【Abstract】 Owing to the limitation of the existing iris location algorithm based on statistic,we improved this algorithm of Iris location based on statistic.First,binary and histogram equalization image and produced from the giving image is used to extract iris edge.Then,the statistic method is used for estimating the edge of iris.Finally,circular edge template is used to locate precisely iris’s edge.Experiment shows this method can improve the speed and accuracy of iris location.
【基金】 国家自然科学基金项目资助(60075019)
- 【文献出处】 计算技术与自动化 ,Computing Technology and Automation , 编辑部邮箱 ,2005年03期
- 【分类号】TP301.6
- 【被引频次】6
- 【下载频次】98