公开(公告)号：KR1020020060271A

公开(公告)日：2002-07-18

申请号：KR1020000015128

申请日：2000-03-24

Applicant: 김회율

Inventor： 김회율 ,  장재영 ,  추현곤

IPC: G06K9/00

Abstract: PURPOSE: A method for detecting pupils of eyes is provided to perform an accurate iris recognition which is insensitive to an influence of an illumination for reflecting an eyeball image for realizing an iris detection having an enhanced calculating amount and velocity. CONSTITUTION: In an iris recognizing system including an illumination, a video camera for obtaining an eyeball image of a human body, and a PC having a frame grabber, a basic point is searched firstly by an eyeball image reduced as a predetermined rate for decreasing a calculating amount of a photographed actual eyeball image(S1). A basic point in an eye pupil is detected from the reduced eyeball image(S2), and boundary reserved areas between an iris and an eye pupil of the reduced eyeball image is decided(S3). A radius and a center of a circle most near to a boundary reserved area are calculated using more than three boundary reserved points distanced most out of the boundary reserved areas, a position and a size of an eye pupil are decided, and an eye pupil area is detected(S4).

Abstract translation: 目的：提供一种用于检测眼睛的瞳孔的方法，以执行对反射用于实现具有增强的计算量和速度的虹膜检测的眼球图像的照明的影响不敏感的精确的虹膜识别。 构成：在包括照明的光圈识别系统，用于获得人体眼球图像的摄像机和具有帧捕获器的PC的基础上，首先通过减小为预定速率的眼球图像来搜索基本点， 拍摄实际眼球图像的计算量（S1）。 从减少的眼球图像（S2）检测眼睛瞳孔中的基本点，并且确定减少眼球图像的虹膜和眼睛瞳孔之间的边界保留区域（S3）。 使用距离边界保留区域最远的多于三个边界保留点来计算半径和最接近边界保留区域的圆的中心，并且确定眼睛瞳孔的位置和大小，以及眼睛瞳孔区域 （S4）。

公开(公告)号：KR100397750B1

公开(公告)日：2003-09-13

申请号：KR1020000015128

申请日：2000-03-24

Applicant: 김회율

Inventor： 김회율 ,  장재영 ,  추현곤

IPC: G06K9/00

Abstract: PURPOSE: A method for detecting pupils of eyes is provided to perform an accurate iris recognition which is insensitive to an influence of an illumination for reflecting an eyeball image for realizing an iris detection having an enhanced calculating amount and velocity. CONSTITUTION: In an iris recognizing system including an illumination, a video camera for obtaining an eyeball image of a human body, and a PC having a frame grabber, a basic point is searched firstly by an eyeball image reduced as a predetermined rate for decreasing a calculating amount of a photographed actual eyeball image(S1). A basic point in an eye pupil is detected from the reduced eyeball image(S2), and boundary reserved areas between an iris and an eye pupil of the reduced eyeball image is decided(S3). A radius and a center of a circle most near to a boundary reserved area are calculated using more than three boundary reserved points distanced most out of the boundary reserved areas, a position and a size of an eye pupil are decided, and an eye pupil area is detected(S4).

Abstract translation: 目的：提供一种用于检测眼睛瞳孔的方法，以执行精确的虹膜识别，该虹膜识别对用于反射眼球图像的照明的影响不敏感，以实现具有增强的计算量和速度的虹膜检测。 构成：在包括照明的虹膜识别系统，用于获得人体的眼球图像的摄像机和具有图像采集卡的PC中，首先通过以预定速率减小的眼球图像来搜索基点， 计算拍摄的实际眼球图像的量（S1）。 根据缩小的眼球图像（S2）检测眼睛瞳孔中的基点，并且确定缩小的眼球图像的虹膜与眼睛瞳孔之间的边界保留区域（S3）。 使用边界保留区域中距离最远的三个以上的边界保留点，确定眼睛瞳孔的位置和大小，并且计算出眼睛瞳孔区域的最近的边界保留区域的半径和中心 （S4）。