Iris Detection and Marking Based on Haar Features
This paper presents an iris detection and marking method based on Haar features from images of figures. We firstly apply Haar-features detection algorithm and Canny edge detection algorithm, to the image, then scan and extend the contours in particular areas to get an initial U-Curves marking iris contours, and then carries on sample expanding and noise reduction to get optimized sample points. At last, the iris contour with optimized sample points is fitted to an ellipse using least squares method, thus get the iris position. Experimental results show that our approach U-Curves improve the accuracy of iris detection and marking.
Peng Lu Hui Xiang Yanfei Dai Wenxiu Zhang
School of Computer Science and Technology, Shandong University, Jinan, 250101, China
国际会议
上海
英文
518-522
2010-10-20（万方平台首次上网日期，不代表论文的发表时间）