公开(公告)号：US07869626B2

公开(公告)日：2011-01-11

申请号：US11702863

申请日：2007-02-06

申请人： Jong Gook Ko ,  Youn Hee Gil ,  Jang Hee Yoo ,  Kyo Il Chung

发明人： Jong Gook Ko ,  Youn Hee Gil ,  Jang Hee Yoo ,  Kyo Il Chung

IPC分类号： G06K9/00

CPC分类号： G06K9/0061

摘要： An iris recognition method is provided. In the iris recognition method, binary image data is obtained by receiving eye image data and filtering the received eye image data using a predetermined threshold value. Then, candidate center search regions are searched for finding a pupil center using profile information of rows and columns of the binarized image. a pupil boundary and a center point are detected by performing a mask operation using 8 pupil boundary mask templates for each of concentric circles formed of pointes in the searched candidate center search regions as candidate pupil centers and different radiuses. An iris boundary region is detected by performing a masking operation using 6 iris boundary mask templates corresponding to 6 locations for concentric circles formed of the pupil center as an origin and different radiuses.

摘要翻译： 提供虹膜识别方法。 在虹膜识别方法中，通过接收眼睛图像数据并使用预定阈值对接收到的眼睛图像数据进行滤波来获得二值图像数据。 然后，使用二进制化图像的行和列的轮廓信息来搜索候选中心搜索区域以找到瞳孔中心。 通过对作为候选瞳孔中心和不同半径的搜索到的候选中心搜索区域中由点形成的每个同心圆进行8个瞳孔边界掩模模板，对瞳孔边界和中心点进行掩模操作。 通过使用对应于由瞳孔中心形成的同心圆的6个位置的6个虹膜边界掩模模板作为原点和不同的半径来执行掩模操作来检测虹膜边界区域。

公开(公告)号：US07715594B2

公开(公告)日：2010-05-11

申请号：US11406192

申请日：2006-04-18

申请人： Jong Gook Ko ,  Youn Hee Gil ,  Jang Hee Yoo ,  Kyo Il Chung

发明人： Jong Gook Ko ,  Youn Hee Gil ,  Jang Hee Yoo ,  Kyo Il Chung

IPC分类号： G06K9/00

CPC分类号： G06K9/0061

摘要： A method of iris recognition using a cumulative-sum-based change point analysis and an apparatus using the same are disclosed. The method includes: transforming an iris image to a polar coordinated image having n×m pixel size and dividing the polar coordinated image into at least one cell; grouping the divided iris images into at least one of first groups having a predetermined number of cells, and at least one of second groups each having more cells than the first group has; performing a cumulative-sum-based change point analysis using a predetermined characteristic pattern value of each cell as a representative value; and generating a pattern vector by assigning a predetermined value to a cell having the change point and assigning a different value to other cells.

摘要翻译： 公开了使用基于累积和的变化点分析的虹膜识别方法和使用其的装置。 该方法包括：将虹膜图像变换为具有n×m像素大小的极坐标图像，并将极坐标图像分割成至少一个单元; 将分割的虹膜图像分组成具有预定数量的细胞的第一组中的至少一个，并且每个具有比第一组多的细胞的第二组中的至少一个具有; 使用每个单元的预定特征图案值作为代表值来执行基于累积和的变化点分析; 以及通过向具有所述改变点的小区分配预定值并且向其他小区分配不同的值来生成模式向量。

公开(公告)号：US20080069410A1

公开(公告)日：2008-03-20

申请号：US11702863

申请日：2007-02-06

申请人： Jong Gook Ko ,  Youn Hee Gil ,  Jang Hee Yoo ,  Kyo II Chung

发明人： Jong Gook Ko ,  Youn Hee Gil ,  Jang Hee Yoo ,  Kyo II Chung

IPC分类号： G06K9/00

CPC分类号： G06K9/0061

摘要： An iris recognition method is provided. In the iris recognition method, binary image data is obtained by receiving eye image data and filtering the received eye image data using a predetermined threshold value. Then, candidate center search regions are searched for finding a pupil center using profile information of rows and columns of the binarized image. a pupil boundary and a center point are detected by performing a mask operation using 8 pupil boundary mask templates for each of concentric circles formed of pointes in the searched candidate center search regions as candidate pupil centers and different radiuses. An iris boundary region is detected by performing a masking operation using 6 iris boundary mask templates corresponding to 6 locations for concentric circles formed of the pupil center as an origin and different radiuses.

摘要翻译： 提供虹膜识别方法。 在虹膜识别方法中，通过接收眼睛图像数据并使用预定阈值对接收到的眼睛图像数据进行滤波来获得二值图像数据。 然后，使用二进制化图像的行和列的轮廓信息来搜索候选中心搜索区域以找到瞳孔中心。 通过对作为候选瞳孔中心和不同半径的搜索到的候选中心搜索区域中由点形成的每个同心圆进行8个瞳孔边界掩模模板，对瞳孔边界和中心点进行掩模操作。 通过使用对应于由瞳孔中心形成的同心圆的6个位置的6个虹膜边界掩模模板作为原点和不同的半径来执行掩模操作来检测虹膜边界区域。

公开(公告)号：US07873189B2

公开(公告)日：2011-01-18

申请号：US11516090

申请日：2006-09-06

申请人： Hyung Keun Jee ,  Yun Su Chung ,  Jang Hee Yoo ,  Kyo Il Chung

发明人： Hyung Keun Jee ,  Yun Su Chung ,  Jang Hee Yoo ,  Kyo Il Chung

IPC分类号： G06K9/00 ,  G06K9/62

CPC分类号： G06K9/00221

摘要： A face recognition and apparatus are provided. According to the method, an SVM classifier is created through machine learning on the basis of a degree of similarity of a divided facial image, and a facial image to be authenticated is normalized to a predetermined size using a center between two eyes. The normalized image is divided into more than one image in horizontal and vertical directions, respectively. Next, predetermined characteristic vectors from the divided images are extracted and a similarity vector based on a degree of similarity with respect to a registered characteristic vector is created. The similarity vector is input to the SVM classifier, so that authentication is performed.

摘要翻译： 提供面部识别和装置。 根据该方法，通过基于分割面部图像的相似度的机器学习来创建SVM分类器，并且使用双眼之间的中心将要认证的面部图像归一化为预定大小。 标准化图像分别在水平和垂直方向分成多个图像。 接下来，提取来自分割图像的预定特征向量，并且创建相对于登记特征向量的相似度的相似度向量。 将相似性向量输入到SVM分类器，从而进行认证。

公开(公告)号：US20070122009A1

公开(公告)日：2007-05-31

申请号：US11516090

申请日：2006-09-06

申请人： Hyung Keun Jee ,  Yun Su Chung ,  Jang Hee Yoo ,  Kyo Il Chung

发明人： Hyung Keun Jee ,  Yun Su Chung ,  Jang Hee Yoo ,  Kyo Il Chung

IPC分类号： G06K9/00

CPC分类号： G06K9/00221

摘要： A face recognition and apparatus are provided. According to the method, an SVM classifier is created through machine learning on the basis of a degree of similarity of a divided facial image, and a facial image to be authenticated is normalized to a predetermined size using a center between two eyes. The normalized image is divided into more than one image in horizontal and vertical directions, respectively. Next, predetermined characteristic vectors from the divided images are extracted and a similarity vector based on a degree of similarity with respect to a registered characteristic vector is created. The similarity vector is input to the SVM classifier, so that authentication is performed.

摘要翻译： 提供面部识别和装置。 根据该方法，通过基于分割面部图像的相似度的机器学习来创建SVM分类器，并且使用双眼之间的中心将要认证的面部图像归一化为预定大小。 标准化图像分别在水平和垂直方向分成多个图像。 接下来，提取来自分割图像的预定特征向量，并且创建相对于登记特征向量的相似度的相似度向量。 将相似性向量输入到SVM分类器，从而进行认证。

公开(公告)号：US07929734B2

公开(公告)日：2011-04-19

申请号：US11760835

申请日：2007-06-11

申请人： Sung Uk Jung ,  Yun Su Chung ,  Jang Hee Yoo ,  Kyo Il Chung

发明人： Sung Uk Jung ,  Yun Su Chung ,  Jang Hee Yoo ,  Kyo Il Chung

IPC分类号： G06K9/00

CPC分类号： G06K9/0061

摘要： Provided are a method and an apparatus for accurately detecting positions of eyes in an input face image. The method includes extracting a symmetric face region from a face image based on magnitude and phase of gradient in each pixel of the face image; detecting available eye positions based on brightness information of the extracted face region; verifying regions around each of the detected eye positions with a classifier which determines whether an input image is an eye image using information obtained by supervised learning on sample images. According to the present invention, faulty eye detection is prevented by removing obscuring elements such as illumination, glasses and hair from an input face image. Also, eye coordinates can be extracted more accurately using an eye classifier.

摘要翻译： 提供了一种准确地检测输入面部图像中的眼睛位置的方法和装置。 该方法包括基于面部图像的每个像素中的梯度的大小和相位从面部图像提取对称面部区域; 基于所提取的面部区域的亮度信息来检测可用的眼睛位置; 使用分类器来检验每个检测到的眼睛位置周围的区域，所述分类器使用通过对样本图像的监督学习获得的信息来确定输入图像是否是眼睛图像。 根据本发明，通过从输入面部图像去除诸如照明，眼镜和头发的遮蔽元件来防止错误的眼睛检测。 此外，可以使用眼睛分类器更准确地提取眼睛坐标。

公开(公告)号：US07697734B2

公开(公告)日：2010-04-13

申请号：US11445062

申请日：2006-06-01

申请人： Sung Uk Jung ,  Yun Su Chung ,  Jang Hee Yoo ,  Kyo Il Chung

发明人： Sung Uk Jung ,  Yun Su Chung ,  Jang Hee Yoo ,  Kyo Il Chung

IPC分类号： G06K9/00

CPC分类号： G06K9/0061

摘要： Provided are a method and apparatus of detecting an eye using symmetrical and moment characteristics of an object. According to the method, an eye band is extracted from a facial image, and eye candidates each having symmetry are detected by extracting symmetrical component from the eye band. After that, a moment line integral is calculated on the basis of contrast of the eye band image and a coordinate of each of the eye candidates is inputted, so that each of the detected eye candidates is verified.

摘要翻译： 提供了使用对象的对称和时刻特征来检测眼睛的方法和装置。 根据该方法，从面部图像中提取眼带，并且通过从眼睛带中提取对称分量来检测各自具有对称性的眼睛候选。 之后，基于眼睛图像的对比度和每个候选眼睛的坐标来计算矩线积分，从而验证每个检测到的候选眼睛。

公开(公告)号：US20120105200A1

公开(公告)日：2012-05-03

申请号：US13188917

申请日：2011-07-22

申请人： Jang Hee Yoo ,  Ki Young Moon ,  Su Young Chi

发明人： Jang Hee Yoo ,  Ki Young Moon ,  Su Young Chi

IPC分类号： G06F7/00

CPC分类号： G06F21/32

摘要： A portable sensor apparatus allowing a mobile device to obtain biometric recognition data required for providing various services without changing the structure and size of the mobile device, and a biometric recognition-based service system having the same are provided. The portable sensor apparatus interworking with a mobile device through a short-distance wireless network includes: a sensor unit acquiring biometric recognition data; a short-distance wireless communications unit providing the biometric recognition data to the mobile device through the short-distance wireless network or receiving a request from the mobile device; a microprocessor commanding to acquire the biometric recognition data in response to a request from the mobile device or a user request; and a user interaction unit receiving the user request or displaying an operational state of the portable sensor apparatus.

摘要翻译： 一种便携式传感器装置，其允许移动设备获得提供各种服务所需的生物识别数据，而不改变移动设备的结构和尺寸，以及具有该生物特征识别的服务系统。 通过短距离无线网络与移动设备交互工作的便携式传感器设备包括：获取生物识别数据的传感器单元; 短距离无线通信单元，通过短距离无线网络向移动设备提供生物识别数据，或者从移动设备接收请求; 命令响应于来自移动设备的请求或用户请求来获取生物识别数据的微处理器; 以及接收用户请求或显示便携式传感器装置的操作状态的用户交互单元。

公开(公告)号：US20110150327A1

公开(公告)日：2011-06-23

申请号：US12907562

申请日：2010-10-19

申请人： Jang Hee Yoo ,  Geon Woo Kim ,  Jong Wook Han ,  Hyun Sook Cho

发明人： Jang Hee Yoo ,  Geon Woo Kim ,  Jong Wook Han ,  Hyun Sook Cho

IPC分类号： G06K9/00

CPC分类号： H04N7/18 ,  G06T1/00

摘要： Disclosed are a method and apparatus for masking a privacy area of an image. The method for masking a privacy area of an image includes: detecting a privacy area required to be protected in an image; and performing masking on the image. An important area (a face area of a person, a number plate area of a vehicle, a window area of a house, etc.) detected from an image inputted through a CCTV camera can be effectively and easily encrypted, scrambled, decoded, and descrambled. Also, the position of the important area detected before or after the important area is scrambled can be maintained to be consistent without having to use a metadata file. In addition, a scrambling algorithm of the same key value can be applicable regardless of the size of the important area. As a result, the system efficiency can be enhanced by effectively protecting personal information compared with a CCTV-based video security system.

摘要翻译： 公开了一种用于屏蔽图像的隐私区域的方法和装置。 用于屏蔽图像的隐私区域的方法包括：检测图像中需要保护的隐私区域; 并对图像执行遮蔽。 从通过CCTV摄像机输入的图像检测到的重要区域（人的面部区域，车辆的车牌区域，房屋的窗户区域等）可以被有效且容易地加密，加扰，解码和 解扰了 此外，在重要区域之前或之后检测到的重要区域的位置被加扰可以保持一致，而不必使用元数据文件。 此外，无论重要区域的大小如何，都可以应用相同键值的加扰算法。 因此，与基于CCTV的视频安全系统相比，通过有效保护个人信息可以提高系统效率。

公开(公告)号：US20060209021A1

公开(公告)日：2006-09-21

申请号：US11251699

申请日：2005-10-17

申请人： Jang Hee Yoo ,  Heung Nam Kim ,  Kyung Hee Lee ,  Dong Myung Sul ,  Ji Young Kwak

发明人： Jang Hee Yoo ,  Heung Nam Kim ,  Kyung Hee Lee ,  Dong Myung Sul ,  Ji Young Kwak

IPC分类号： G09G5/00

CPC分类号： G06F3/017 ,  G06F3/0304

摘要： A virtual mouse driving apparatus and method for processing a variety of gesture commands as equivalent mouse commands based on two-handed gesture information obtained by a video camera are provided. The virtual mouse driving method includes: keeping track of an input gesture input with the video camera; removing a background portion of the input gesture image and extracting a left-hand region and a right-hand region from the input gesture image whose background portion has been removed; recognizing a left-hand gesture and a right-hand gesture from the extracted left-hand region and the extracted right-hand region, respectively, and recognizing gesture commands corresponding to the recognition results; and executing the recognized gesture commands.

摘要翻译： 提供了一种用于基于由摄像机获得的双手手势信息来处理各种手势命令作为等效鼠标命令的虚拟鼠标驱动装置和方法。 虚拟鼠标驱动方法包括：跟踪摄像机输入的输入手势; 去除所述输入手势图像的背景部分，并且从已经去除了背景部分的输入手势图像提取左侧区域和右侧区域; 分别从提取的左手区域和所提取的右手区域识别左手手势和右手手势，并识别与识别结果相对应的手势命令; 以及执行所识别的手势命令。