公开(公告)号：US20110150334A1

公开(公告)日：2011-06-23

申请号：US13055250

申请日：2009-07-22

申请人： Eliza Yingzi Du ,  Zhi Zhou ,  Emrah Arslanturk

发明人： Eliza Yingzi Du ,  Zhi Zhou ,  Emrah Arslanturk

IPC分类号： G06K9/34

CPC分类号： G06K9/00604

摘要： A method segments iris images from eye image data captured from non-cooperative subjects. The method includes receiving a frame of eye image data, and determining whether a pupil exists in the image by detecting glare areas in the image. Upon finding a pupil, subsequent images are processed with reference to the pupil location and a radius is calculated for the pupil. A k means clustering method and principal component analysis are used to locate pupil boundary points, which are fitted to a conic. Using the pupil boundary, an angular derivative is computed for each frame having a pupil and iris boundary points are fitted to a conic to identify an iris region between the iris boundary and the pupil boundary. Noise data are then removed from the iris region to generate an iris segment. A method for evaluating iris frame quality and iris image segmentation quality is also disclosed.

摘要翻译： 一种方法从非合作对象捕获的眼图数据中分割虹膜图像。 该方法包括接收一帧眼图数据，并通过检测图像中的眩光区域来确定图像中是否存在瞳孔。 在找到瞳孔时，参考瞳孔位置处理随后的图像，并计算瞳孔的半径。 A k表示聚类方法，主成分分析用于定位适合于锥体的瞳孔边界点。 使用瞳孔边界，对于具有瞳孔的每个帧计算角度导数，并且将虹膜边界点拟合到圆锥，以识别虹膜边界和瞳孔边界之间的虹膜区域。 然后从虹膜区域移除噪声数据，以产生虹膜段。 还公开了一种用于评估虹膜框架质量和虹膜图像分割质量的方法。

公开(公告)号：US08644565B2

公开(公告)日：2014-02-04

申请号：US13055250

申请日：2009-07-22

申请人： Eliza Yingzi Du ,  Zhi Zhou ,  Emrah Arslanturk

发明人： Eliza Yingzi Du ,  Zhi Zhou ,  Emrah Arslanturk

IPC分类号： G06K9/00

CPC分类号： G06K9/00604

摘要： A method segments iris images from eye image data captured from non-cooperative subjects. The method includes receiving a frame of eye image data, and determining whether a pupil exists in the image by detecting glare areas in the image. Upon finding a pupil, subsequent images are processed with reference to the pupil location and a radius is calculated for the pupil. A k means clustering method and principal component analysis are used to locate pupil boundary points, which are fitted to a conic. Using the pupil boundary, an angular derivative is computed for each frame having a pupil and iris boundary points are fitted to a conic to identify an iris region between the iris boundary and the pupil boundary. Noise data are then removed from the iris region to generate an iris segment. A method for evaluating iris frame quality and iris image segmentation quality is also disclosed.

摘要翻译： 一种方法从非合作对象捕获的眼图数据中分割虹膜图像。 该方法包括接收一帧眼图数据，并通过检测图像中的眩光区域来确定图像中是否存在瞳孔。 在找到瞳孔时，参考瞳孔位置处理随后的图像，并计算瞳孔的半径。 A k表示聚类方法，主成分分析用于定位适合于锥体的瞳孔边界点。 使用瞳孔边界，对于具有瞳孔的每个帧计算角度导数，并且将虹膜边界点拟合到圆锥，以识别虹膜边界和瞳孔边界之间的虹膜区域。 然后从虹膜区域移除噪声数据，以产生虹膜段。 还公开了一种用于评估虹膜框架质量和虹膜图像分割质量的方法。