公开(公告)号：US09008440B2

公开(公告)日：2015-04-14

申请号：US13545629

申请日：2012-07-10

申请人： Kye Kyung Kim ,  Woo Han Yun ,  Hye Jin Kim ,  Su Young Chi ,  Jae Yeon Lee ,  Mun Sung Han ,  Jae Hong Kim ,  Joo Chan Sohn

发明人： Kye Kyung Kim ,  Woo Han Yun ,  Hye Jin Kim ,  Su Young Chi ,  Jae Yeon Lee ,  Mun Sung Han ,  Jae Hong Kim ,  Joo Chan Sohn

IPC分类号： G06K9/48 ,  G06K9/62 ,  G06K9/00 ,  G06T7/00

CPC分类号： G06K9/00 ,  G06K2209/19 ,  G06T7/12 ,  G06T7/74 ,  G06T2207/30164

摘要： Disclosed are a component recognizing apparatus and a component recognizing method. The component recognizing apparatus includes: an image preprocessing unit configured to extract component edges from an input component image by using a plurality of edge detecting techniques, and detect a component region by using the extracted component edges; a feature extracting unit configured to extract a component feature from the detected component region, and create a feature vector by using the component feature; and a component recognizing unit configured to input the created feature vector to an artificial neural network which has learned in advance to recognize a component category through a plurality of component image samples, and recognize the component category according to a result.

摘要翻译： 公开了一种部件识别装置和部件识别方法。 该分量识别装置包括：图像预处理单元，被配置为通过使用多个边缘检测技术从输入分量图像中提取分量边缘，并且通过使用所提取的分量边缘来检测分量区域; 特征提取单元，被配置为从检测到的分量区域中提取分量特征，并通过使用分量特征来创建特征向量; 以及分量识别单元，被配置为将所创建的特征向量输入到通过多个分量图像样本预先学习识别分量类别的人造神经网络，并根据结果识别组件类别。

公开(公告)号：US20130163858A1

公开(公告)日：2013-06-27

申请号：US13545629

申请日：2012-07-10

申请人： Kye Kyung KIM ,  Woo Han YUN ,  Hye Jin KIM ,  Su Young CHI ,  Jae Yeon LEE ,  Mun Sung HAN ,  Jae Hong KIM ,  Joo Chan SOHN

发明人： Kye Kyung KIM ,  Woo Han YUN ,  Hye Jin KIM ,  Su Young CHI ,  Jae Yeon LEE ,  Mun Sung HAN ,  Jae Hong KIM ,  Joo Chan SOHN

IPC分类号： G06K9/62

CPC分类号： G06K9/00 ,  G06K2209/19 ,  G06T7/12 ,  G06T7/74 ,  G06T2207/30164

摘要： Disclosed are a component recognizing apparatus and a component recognizing method. The component recognizing apparatus includes: an image preprocessing unit configured to extract component edges from an input component image by using a plurality of edge detecting techniques, and detect a component region by using the extracted component edges; a feature extracting unit configured to extract a component feature from the detected component region, and create a feature vector by using the component feature; and a component recognizing unit configured to input the created feature vector to an artificial neural network which has learned in advance to recognize a component category through a plurality of component image samples, and recognize the component category according to a result.

摘要翻译： 公开了一种部件识别装置和部件识别方法。 该分量识别装置包括：图像预处理单元，被配置为通过使用多个边缘检测技术从输入分量图像中提取分量边缘，并且通过使用所提取的分量边缘来检测分量区域; 特征提取单元，被配置为从检测到的分量区域中提取分量特征，并通过使用分量特征来创建特征向量; 以及分量识别单元，被配置为将所创建的特征向量输入到通过多个分量图像样本预先学习识别分量类别的人造神经网络，并根据结果识别组件类别。

公开(公告)号：US07072513B2

公开(公告)日：2006-07-04

申请号：US10359710

申请日：2003-02-07

申请人： Kye Kyung Kim ,  Yun Koo Chung ,  Su Young Chi ,  Won Pil Yu ,  Hyoung Gu Lee ,  Soo Hyun Cho

发明人： Kye Kyung Kim ,  Yun Koo Chung ,  Su Young Chi ,  Won Pil Yu ,  Hyoung Gu Lee ,  Soo Hyun Cho

IPC分类号： G06K9/34

CPC分类号： G06K9/342 ,  G06K2209/01

摘要： Disclosed is a method of segmenting handwritten touching numeral strings having a non-vertical segmentation line. The method comprises the steps of: receiving an image of the handwritten touching numeral strings having the non-vertical segmentation line extracted from a specially patterned document; smoothing an uneven shape of the image of handwritten touching numeral strings; searching a contour line for the image of smoothed handwritten touching numeral strings; searching a candidate segmentation region, in which the touching numeral strings may exist, from the searched contour line; searching a candidate segmentation point within the candidate segmentation region; searching a vertical segmentation line for segmenting the handwritten touching numeral strings from the candidate segmentation point; searching the non-vertical segmentation line for segmenting the handwritten touching numeral strings having any inclination from the candidate segmentation lines; and segmenting the handwritten touching numeral strings by use of the vertical and non-vertical segmentation lines.

摘要翻译： 公开了一种分割具有非垂直分割线的手写触摸数字串的方法。 该方法包括以下步骤：接收具有从特殊图案化文档提取的非垂直分割线的手写触摸数字串的图像; 平滑手写触摸数字串的图像的不均匀形状; 搜索平滑的手写触摸数字字符串的图像的轮廓线; 从搜索到的轮廓线中搜索可能存在触摸数字串的候选分割区域; 搜索候选分割区域内的候选分割点; 搜索垂直分割线以从候选分割点分割手写的触摸数字串; 搜索所述非垂直分割线以从所述候选分割线分割具有任何倾斜度的手写触摸数字串; 并且通过使用垂直和非垂直分割线来分割手写的触摸数字串。

公开(公告)号：US20060120569A1

公开(公告)日：2006-06-08

申请号：US11291607

申请日：2005-11-30

申请人： Do-Hyung Kim ,  Jae-Yeon Lee ,  Su-Young Chi ,  Ho-Sub Yoon ,  Kye-Kyung Kim ,  Soo-Hyun Cho ,  Hye-Jin Kim ,  Young-Jo Cho

发明人： Do-Hyung Kim ,  Jae-Yeon Lee ,  Su-Young Chi ,  Ho-Sub Yoon ,  Kye-Kyung Kim ,  Soo-Hyun Cho ,  Hye-Jin Kim ,  Young-Jo Cho

IPC分类号： G06K9/00 ,  G06K9/46

CPC分类号： G06K9/00362

摘要： A user recognizing system and method is provided. According to the user recognizing system and method, user ID and predetermined user feature information are stored, first and second user feature information are extracted from the user image data transmitted from the image input unit, and first and second probabilities that the extracted first and second user feature information determine the predetermined user are respectively generated based on the information stored at the user information database, the first user feature information being absolutely unique biometric information and the second user feature information being unique semibiometric information under a predetermined condition, and ID of the input image is finally determined by combining the first probability and the second probability. According to the user recognizing system and method, a user identity can be authenticated even when the user freely moves.

公开(公告)号：US07634113B2

公开(公告)日：2009-12-15

申请号：US11291607

申请日：2005-11-30

申请人： Do-Hyung Kim ,  Jae-Yeon Lee ,  Su-Young Chi ,  Ho-Sub Yoon ,  Kye-Kyung Kim ,  Soo-Hyun Cho ,  Hye-Jin Kim ,  Young-Jo Cho

发明人： Do-Hyung Kim ,  Jae-Yeon Lee ,  Su-Young Chi ,  Ho-Sub Yoon ,  Kye-Kyung Kim ,  Soo-Hyun Cho ,  Hye-Jin Kim ,  Young-Jo Cho

IPC分类号： G06K9/00 ,  G06K5/00 ,  G05B19/00 ,  G10L21/00

CPC分类号： G06K9/00362

摘要： A user recognizing system and method is provided. According to the user recognizing system and method, user ID and predetermined user feature information are stored, first and second user feature information are extracted from the user image data transmitted from the image input unit, and first and second probabilities that the extracted first and second user feature information determine the predetermined user are respectively generated based on the information stored at the user information database, the first user feature information being absolutely unique biometric information and the second user feature information being unique semibiometric information under a predetermined condition, and ID of the input image is finally determined by combining the first probability and the second probability. According to the user recognizing system and method, a user identity can be authenticated even when the user freely moves.

摘要翻译： 提供了一种用户识别系统和方法。 根据用户识别系统和方法，存储用户ID和预定用户特征信息，从从图像输入单元发送的用户图像数据中提取第一和第二用户特征信息，以及提取的第一和第二概率的第一和第二概率 基于存储在用户信息数据库中的信息分别生成预定用户的用户特征信息，第一用户特征信息是绝对唯一的生物体信息，第二用户特征信息是预定条件下的唯一半身测量信息，以及ID 最终通过组合第一概率和第二概率来确定输入图像。 根据用户识别系统和方法，即使用户自由移动，也可以认证用户身份。

公开(公告)号：US20060140481A1

公开(公告)日：2006-06-29

申请号：US11287936

申请日：2005-11-28

申请人： Kye-Kyung Kim ,  Soo-Hyun Cho ,  Hye-Jin Kim ,  Jae-Yeon Lee

发明人： Kye-Kyung Kim ,  Soo-Hyun Cho ,  Hye-Jin Kim ,  Jae-Yeon Lee

IPC分类号： G06K9/46 ,  H04N5/228

CPC分类号： H04N5/232 ,  G06K9/00362 ,  G06T7/246

摘要： A target detecting system and method for detecting a target from an input image is provided. According to the target detecting system and method, when a target is detected from an input image and there are moving areas in the input image, camera movement parameters are obtained, image frames are transformed, and movement candidate areas are extracted from the image frame and the previous input image frame. In addition, image feature information is extracted from the input image, and based on the movement candidate areas and the image feature information a shape of the target is extracted. Therefore, the target can be exactly and rapidly extracted and tracked.

摘要翻译： 提供了一种从输入图像中检测目标的目标检测系统和方法。 根据目标检测系统和方法，当从输入图像检测到目标并且在输入图像中存在移动区域时，获得相机移动参数，变换图像帧，并且从图像帧中提取移动候选区域，并且 以前的输入图像帧。 此外，从输入图像中提取图像特征信息，并且基于移动候选区域和图像特征信息，提取目标的形状。 因此，可以准确，快速地提取和跟踪目标。

公开(公告)号：US06920246B2

公开(公告)日：2005-07-19

申请号：US10098457

申请日：2002-03-18

申请人： Kye Kyung Kim ,  Yun Koo Chung ,  Su Young Chi ,  Young Sup Hwang ,  Won Pil Yu ,  Soo Hyun Cho ,  Hyoung Gu Lee

发明人： Kye Kyung Kim ,  Yun Koo Chung ,  Su Young Chi ,  Young Sup Hwang ,  Won Pil Yu ,  Soo Hyun Cho ,  Hyoung Gu Lee

IPC分类号： G06K9/46 ,  G06K9/34

CPC分类号： G06K9/342 ,  G06K9/344 ,  G06K2209/01

摘要： Disclosed is a method of segmenting touching numeral strings contained in handwritten touching numeral strings, and recognizing the numeral strings by use of feature information and recognized results provided by inherent structure of digits. The method comprises the steps of: receiving a handwritten numeral string extracted from a pattern document; smoothing a curved numeral image of the handwritten numeral string, and searching connecting components in the numeral image; determining whether or not the numeral string is a touching numeral string; if it is determined that the numeral string is the touching numeral string, searching a contour of the touching numeral string image; searching candidate segmentation points in the contour, and segmenting sub-images; computing a segmentation confidence value on each segmented sub-image by use of a segmentation error function to select the sub-image with the highest segmentation confidence value as a segmented numeral image in the touching numeral string image; if it is determined in the step c that the numeral string is not the touching numeral string, extracting a feature to recognize the segmented numeral image; segmenting the numeral image selected from the touching numeral string in the highest segmenting confidence value; and obtaining remaining numeral string image.

摘要翻译： 公开了一种分割手写触摸数字串中包含的触摸数字串的方法，并且通过使用特征信息和由数字的固有结构提供的识别结果来识别数字串。 该方法包括以下步骤：接收从图案文档提取的手写数字字符串; 平滑手写数字串的曲面数字图像，并搜索数字图像中的连接分量; 确定数字串是否是触摸数字串; 如果确定数字串是触摸数字串，则搜索触摸数字串图像的轮廓; 搜索轮廓中的候选分割点，并分割子图像; 通过使用分割误差函数来计算每个分割子图像上的分割置信度值，以选择具有最高分割置信度值的子图像作为触摸数字串图像中的分割数字图像; 如果在步骤c中确定数字串不是触摸数字串，则提取特征以识别分割的数字图像; 以最高分割置信度分割从触摸数字串中选择的数字图像; 并获得剩余的数字串图像。

公开(公告)号：US08913798B2

公开(公告)日：2014-12-16

申请号：US13565022

申请日：2012-08-02

申请人： Kye Kyung Kim ,  Jae Yeon Lee ,  Ho Sub Yoon ,  Jae Hong Kim ,  Joo Chan Sohn

发明人： Kye Kyung Kim ,  Jae Yeon Lee ,  Ho Sub Yoon ,  Jae Hong Kim ,  Joo Chan Sohn

IPC分类号： G06K9/00

CPC分类号： G06K9/00 ,  G06K9/00288 ,  G06K9/00899

摘要： Disclosed are a system and a method for recognizing a disguised face using a Gabor feature and a support vector machine (SVM) classifier according to the present invention.The system for recognizing a disguised face includes: a graph generation means to generate a single standard face graph from a plurality of facial image samples; a support vector machine (SVM) learning means to determine an optimal classification plane for discriminating a disguised face from the plurality of facial image samples and disguised facial image samples; and a facial recognition means to determine whether an input facial image is disguised using the standard face graph and the optimal classification plane when the facial image to be recognized is input.

摘要翻译： 公开了根据本发明的使用Gabor特征和支持向量机（SVM）分类器识别伪装脸部的系统和方法。 用于识别伪装脸部的系统包括：图形生成装置，用于从多个面部图像样本生成单个标准面部图形; 支持向量机（SVM）学习装置，用于确定用于从多个面部图像样本和伪装的面部图像样本中鉴别伪装的脸部的最佳分类平面; 以及面部识别装置，用于当要输入要识别的面部图像时，使用标准面图和最佳分类平面来确定输入面部图像是否伪装。

公开(公告)号：US20130163829A1

公开(公告)日：2013-06-27

申请号：US13565022

申请日：2012-08-02

申请人： Kye Kyung KIM ,  Jae Yeon LEE ,  Ho Sub YOON ,  Jae Hong KIM ,  Joo Chan SOHN

发明人： Kye Kyung KIM ,  Jae Yeon LEE ,  Ho Sub YOON ,  Jae Hong KIM ,  Joo Chan SOHN

IPC分类号： G06K9/62

CPC分类号： G06K9/00 ,  G06K9/00288 ,  G06K9/00899

摘要： Disclosed are a system and a method for recognizing a disguised face using a Gabor feature and a support vector machine (SVM) classifier according to the present invention.The system for recognizing a disguised face includes: a graph generation means to generate a single standard face graph from a plurality of facial image samples; a support vector machine (SVM) learning means to determine an optimal classification plane for discriminating a disguised face from the plurality of facial image samples and disguised facial image samples; and a facial recognition means to determine whether an input facial image is disguised using the standard face graph and the optimal classification plane when the facial image to be recognized is input.

摘要翻译： 公开了根据本发明的使用Gabor特征和支持向量机（SVM）分类器识别伪装脸部的系统和方法。 用于识别伪装脸部的系统包括：图形生成装置，用于从多个面部图像样本生成单个标准面部图形; 支持向量机（SVM）学习装置，用于确定用于从多个面部图像样本和伪装的面部图像样本中鉴别伪装的脸部的最佳分类平面; 以及面部识别装置，用于当要输入要识别的面部图像时，使用标准面图和最佳分类平面来确定输入面部图像是否伪装。

公开(公告)号：US07688999B2

公开(公告)日：2010-03-30

申请号：US11287936

申请日：2005-11-28

申请人： Kye-Kyung Kim ,  Soo-Hyun Cho ,  Hye-Jin Kim ,  Jae-Yeon Lee

发明人： Kye-Kyung Kim ,  Soo-Hyun Cho ,  Hye-Jin Kim ,  Jae-Yeon Lee

IPC分类号： G06K9/00

CPC分类号： H04N5/232 ,  G06K9/00362 ,  G06T7/246

摘要： A target detecting system and method for detecting a target from an input image is provided. According to the target detecting system and method, when a target is detected from an input image and there are moving areas in the input image, camera movement parameters are obtained, image frames are transformed, and movement candidate areas are extracted from the image frame and the previous input image frame. In addition, image feature information is extracted from the input image, and based on the movement candidate areas and the image feature information a shape of the target is extracted. Therefore, the target can be exactly and rapidly extracted and tracked.

摘要翻译： 提供了一种从输入图像中检测目标的目标检测系统和方法。 根据目标检测系统和方法，当从输入图像检测到目标并且在输入图像中存在移动区域时，获得相机移动参数，变换图像帧，并且从图像帧中提取移动候选区域，并且 以前的输入图像帧。 此外，从输入图像中提取图像特征信息，并且基于移动候选区域和图像特征信息，提取目标的形状。 因此，可以准确，快速地提取和跟踪目标。