计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2013年
10期
251-253
,共3页
虹膜分割%变分水平集%最小二乘拟合%能量函数%水平集演化方程%变形虹膜
虹膜分割%變分水平集%最小二乘擬閤%能量函數%水平集縯化方程%變形虹膜
홍막분할%변분수평집%최소이승의합%능량함수%수평집연화방정%변형홍막
iris segmentation%variational level set%least square fitting%energy function%level set evolution equation%deformed iris
当虹膜图像受眼睑、睫毛及变形等影响时，会造成分割不准确，如何有效地分割虹膜是虹膜识别面临的主要问题。为此，提出一种基于变分水平集模型的虹膜图像分割方法。采用灰度投影法粗略确定瞳孔，使用最小二乘拟合得到瞳孔与虹膜边界，通过变分水平集模型精确分割虹膜。实验结果表明，该方法对虹膜外边缘分割的准确率为98.59%，高于Daugman、Hough变换及改进Hough变换等常用方法。
噹虹膜圖像受眼瞼、睫毛及變形等影響時，會造成分割不準確，如何有效地分割虹膜是虹膜識彆麵臨的主要問題。為此，提齣一種基于變分水平集模型的虹膜圖像分割方法。採用灰度投影法粗略確定瞳孔，使用最小二乘擬閤得到瞳孔與虹膜邊界，通過變分水平集模型精確分割虹膜。實驗結果錶明，該方法對虹膜外邊緣分割的準確率為98.59%，高于Daugman、Hough變換及改進Hough變換等常用方法。
당홍막도상수안검、첩모급변형등영향시，회조성분할불준학，여하유효지분할홍막시홍막식별면림적주요문제。위차，제출일충기우변분수평집모형적홍막도상분할방법。채용회도투영법조략학정동공，사용최소이승의합득도동공여홍막변계，통과변분수평집모형정학분할홍막。실험결과표명，해방법대홍막외변연분할적준학솔위98.59%，고우Daugman、Hough변환급개진Hough변환등상용방법。
Segmenting the iris accurately is a main problem for iris recognition, due to the impact of the eyelids, eyelashes and deformation. This paper presents an iris segmentation method based on variational level set model. It uses gray projection algorithm to locate the pupil, applies a least square fitting algorithm to estimate the boundary between the pupil and the iris, and employs a variational level set model to accurately segment the iris. Experimental results demonstrate the segmentation accuracy of 98.59%for outer edge of the iris is better than using Daugman method, Hough transformation method and improved Hough transformation method.
