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| 虹膜内外边界的粗定位方法 | |
| 引用本文： | 冯薪桦,丁晓青,方驰,吴佑寿. 虹膜内外边界的粗定位方法[J]. 清华大学学报(自然科学版), 2007, 47(1): 80-83 |
| 作者姓名： | 冯薪桦 丁晓青 方驰 吴佑寿 |
| 作者单位： | 清华大学,电子工程系,北京,100084;清华大学,电子工程系,北京,100084;清华大学,电子工程系,北京,100084;清华大学,电子工程系,北京,100084 |
| 摘 要： | 为了提高现有虹膜定位算法的性能,提出了一种虹膜粗定位算法。该算法利用二值图像的下边缘轮廓粗定位虹膜内边界,利用内边界圆心左右两侧的一维灰度均值信号粗定位虹膜外边界。即使在存在严重的眼皮和睫毛干扰的情况下,这种算法也能快速有效地估计出虹膜内外边界的位置。实验结果表明:该算法能够极大地提高虹膜定位的速度和准确度,粗定位一幅虹膜图片平均只需71m s,定位准确度也明显优于现有的粗定位算法。 |
| 关 键 词： | 图像处理 虹膜定位 下边缘轮廓 Hough变换 粗定位 |
| 文章编号： | 1000-0054(2007)01-0080-04 |
| 修稿时间： | 2005-12-30 |
Iris coarse localization algorithm for both boundaries |
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| FENG Xinhua,DING Xiaoqing,FANG Chi,WU Youshou. Iris coarse localization algorithm for both boundaries[J]. Journal of Tsinghua University(Science and Technology), 2007, 47(1): 80-83 | |
| Authors: | FENG Xinhua DING Xiaoqing FANG Chi WU Youshou |
| Abstract: | The performance of iris localization algorithms is improved by estimating the inner boundary of the iris using the down-contour of the binary iris image,while estimating the outside radius of the iris using the gray average signals on both sides of the pupil.This approach is effective even when the serious occlusions caused by eyelids and eyelashes exist in the iris image.Experimental results indicate that the proposed method significantly improves the iris localization speed and accuracy,using only 71 ms for coarse localization with an accuracy superior to existing algorithms. |
| Keywords: | image processing iris localization down-contour Hough transform coarse localization |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |