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1. 发明申请

US20090218404A1 CAMERA BASED CODE READING 有权
标题翻译：基于CAMERA的代码阅读
公开(公告)号：US20090218404A1
公开(公告)日：2009-09-03
申请号：US12039060
申请日：2008-02-28
申请人： Chunhui Zhang , Shi Han , Jian Wang
发明人： Chunhui Zhang , Shi Han , Jian Wang
IPC分类号： G06K7/10 , G06K19/06
CPC分类号： G06K7/10722 , G06K7/1417 , G06K7/1456 , G06K19/06037
摘要： Techniques for providing camera based code reading are disclosed. In some aspects, a camera-readable code is generated which may be read by a code reading device. The code reading device may capture an image of the code, process the image, and decode the code. The code includes symbols arranged to form a pattern. According to one or more embodiments, an image with the code is cropped to remove extraneous information. The code image is manipulated by exact binary segmentation to remove background information from the code. The code is oriented to a grid using an interval value defined between the symbols. The symbols are decoded by comparing unique aspects of the symbols using a statistical analysis. The decoded symbols may be converted to a message for a user or be used for other purposes.
摘要翻译：公开了用于提供基于相机的代码读取的技术。在一些方面，生成可由代码读取装置读取的相机可读代码。代码读取装置可以捕获代码的图像，处理图像并对代码进行解码。该代码包括排列成形成图案的符号。根据一个或多个实施例，裁剪具有代码的图像以去除无关信息。代码图像由精确的二进制分割操作，以从代码中移除背景信息。代码使用在符号之间定义的间隔值定向到网格。通过使用统计分析比较符号的唯一方面来对符号进行解码。解码的符号可以被转换成用户的消息或用于其他目的。

2. 发明授权

US07980473B2 Camera based code reading 有权
标题翻译：基于相机的代码阅读
公开(公告)号：US07980473B2
公开(公告)日：2011-07-19
申请号：US12039060
申请日：2008-02-28
申请人： Chunhui Zhang , Shi Han , Jian Wang
发明人： Chunhui Zhang , Shi Han , Jian Wang
IPC分类号： G06K7/10
CPC分类号： G06K7/10722 , G06K7/1417 , G06K7/1456 , G06K19/06037
摘要： Techniques for providing camera based code reading are disclosed. In some aspects, a camera-readable code is generated which may be read by a code reading device. The code reading device may capture an image of the code, process the image, and decode the code. The code includes symbols arranged to form a pattern. According to one or more embodiments, an image with the code is cropped to remove extraneous information. The code image is manipulated by exact binary segmentation to remove background information from the code. The code is oriented to a grid using an interval value defined between the symbols. The symbols are decoded by comparing unique aspects of the symbols using a statistical analysis. The decoded symbols may be converted to a message for a user or be used for other purposes.
摘要翻译：公开了用于提供基于相机的代码读取的技术。在一些方面，生成可由代码读取装置读取的相机可读代码。代码读取装置可以捕获代码的图像，处理图像并对代码进行解码。该代码包括排列成形成图案的符号。根据一个或多个实施例，裁剪具有代码的图像以去除无关信息。代码图像由精确的二进制分割操作，以从代码中移除背景信息。代码使用在符号之间定义的间隔值定向到网格。通过使用统计分析比较符号的独特方面来对符号进行解码。解码的符号可以被转换成用户的消息或用于其他目的。

3. 发明授权

US07780084B2 2-D barcode recognition 有权
标题翻译：二维码识别
公开(公告)号：US07780084B2
公开(公告)日：2010-08-24
申请号：US11772069
申请日：2007-06-29
申请人： Chunhui Zhang , Zhouchen Lin , Zhengyou Zhang , Shi Han
发明人： Chunhui Zhang , Zhouchen Lin , Zhengyou Zhang , Shi Han
IPC分类号： G06K7/10
CPC分类号： G06K7/1093 , G06T3/608 , G06T2207/20061
摘要： Systems and methods for 2-D barcode recognition are described. In one aspect, the systems and methods use a charge coupled camera capturing device to capture a digital image of a 3-D scene. The systems and methods evaluate the digital image to localize and segment a 2-D barcode from the digital image of the 3-D scene. The 2-D barcode is rectified to remove non-uniform lighting and correct any perspective distortion. The rectified 2-D barcode is divided into multiple uniform cells to generate a 2-D matrix array of symbols. A barcode processing application evaluates the 2-D matrix array of symbols to present data to the user.
摘要翻译：描述了用于二维条形码识别的系统和方法。在一个方面，所述系统和方法使用电荷耦合的摄像机捕捉设备来捕获3-D场景的数字图像。系统和方法评估数字图像，以从3-D场景的数字图像中定位和分割二维条形码。二维条形码整流，以消除不均匀的照明并纠正任何透视失真。经整流的二维条形码被分成多个均匀的单元格，以产生符号的二维矩阵阵列。条形码处理应用程序评估符号的二维矩阵数组以向用户呈现数据。

4. 发明申请

US20090001165A1 2-D Barcode Recognition 有权
标题翻译： 2-D条形码识别
公开(公告)号：US20090001165A1
公开(公告)日：2009-01-01
申请号：US11772069
申请日：2007-06-29
申请人： Chunhui Zhang , Zhouchen Lin , Zhengyou Zhang , Shi Han
发明人： Chunhui Zhang , Zhouchen Lin , Zhengyou Zhang , Shi Han
IPC分类号： G06K7/10
CPC分类号： G06K7/1093 , G06T3/608 , G06T2207/20061
摘要： Systems and methods for 2-D barcode recognition are described. In one aspect, the systems and methods use a charge coupled camera capturing device to capture a digital image of a 3-D scene. The systems and methods evaluate the digital image to localize and segment a 2-D barcode from the digital image of the 3-D scene. The 2-D barcode is rectified to remove non-uniform lighting and correct any perspective distortion. The rectified 2-D barcode is divided into multiple uniform cells to generate a 2-D matrix array of symbols. A barcode processing application evaluates the 2-D matrix array of symbols to present data to the user.
摘要翻译：描述了用于二维条形码识别的系统和方法。在一个方面，所述系统和方法使用电荷耦合的摄像机捕捉设备来捕获3-D场景的数字图像。系统和方法评估数字图像，以从3-D场景的数字图像中定位和分割二维条形码。二维条形码整流，以消除不均匀的照明并纠正任何透视失真。经整流的二维条形码被分成多个均匀的单元格，以产生符号的二维矩阵阵列。条形码处理应用程序评估符号的二维矩阵数组以向用户呈现数据。

5. 发明授权

US08463043B2 Feature design for character recognition 有权
标题翻译：字符识别功能设计
公开(公告)号：US08463043B2
公开(公告)日：2013-06-11
申请号：US13526236
申请日：2012-06-18
申请人： Yu Zou , Ming Chang , Shi Han , Dongmei Zhang , Jian Wang
发明人： Yu Zou , Ming Chang , Shi Han , Dongmei Zhang , Jian Wang
IPC分类号： G06K9/00 , G06K9/46
CPC分类号： G06K9/00416 , G06K2209/011
摘要： An exemplary method for online character recognition of characters includes acquiring time sequential, online ink data for a handwritten character, conditioning the ink data to produce conditioned ink data where the conditioned ink data includes information as to writing sequence of the handwritten character and extracting features from the conditioned ink data where the features include a tangent feature, a curvature feature, a local length feature, a connection point feature and an imaginary stroke feature. Such a method may determine neighborhoods for ink data and extract features for each neighborhood. An exemplary character recognition system may use various exemplary methods for training and character recognition.
摘要翻译：用于字符的在线字符识别的示例性方法包括获取用于手写字符的时间顺序在线墨水数据，调节墨水数据以产生经调节的墨水数据，其中经调节的墨水数据包括关于写入手写字符的序列的信息并从调节的油墨数据，其中特征包括切线特征，曲率特征，局部长度特征，连接点特征和假想笔划特征。这种方法可以确定墨水数据的邻域并提取每个邻域的特征。示例性字符识别系统可以使用用于训练和字符识别的各种示例性方法。

6. 发明授权

US08160362B2 Combining online and offline recognizers in a handwriting recognition system 有权
标题翻译：将在线和离线识别器结合在手写识别系统中
公开(公告)号：US08160362B2
公开(公告)日：2012-04-17
申请号：US13090242
申请日：2011-04-19
申请人： Xinjian Chen , Dongmei Zhang , Yu Zou , Ming Chang , Shi Han , Jian Wang
发明人： Xinjian Chen , Dongmei Zhang , Yu Zou , Ming Chang , Shi Han , Jian Wang
IPC分类号： G06K9/00 , G06F17/00
CPC分类号： G06K9/00973 , G06K9/6292 , G06K9/6296
摘要： Described is a technology by which online recognition of handwritten input data is combined with offline recognition and processing to obtain a combined recognition result. In general, the combination improves overall recognition accuracy. In one aspect, online and offline recognition is separately performed to obtain online and offline character-level recognition scores for candidates (hypotheses). A statistical analysis-based combination algorithm, an AdaBoost algorithm, and/or a neural network-based combination may determine a combination function to combine the scores to produce a result set of one or more results. Online and offline radical-level recognition may be performed. For example, a HMM recognizer may generate online radical scores used to build a radical graph, which is then rescored using the offline radical recognition scores. Paths in the rescored graph are then searched to provide the combined recognition result, e.g., corresponding to the path with the highest score.
摘要翻译：描述了通过在线识别手写输入数据与离线识别和处理相结合以获得组合识别结果的技术。通常，该组合提高了整体识别精度。在一个方面，单独执行在线和离线识别以获得用于候选者（假设）的在线和离线角色级识别分数。基于统计分析的组合算法，AdaBoost算法和/或基于神经网络的组合可以确定组合函数以组合分数以产生一个或多个结果的结果集。可以执行在线和离线激进级别识别。例如，HMM识别器可以生成用于构建激进图形的在线激进分数，然后使用离线激进识别分数进行重新分类。然后，搜索折叠图中的路径以提供组合识别结果，例如对应于具有最高分数的路径。

7. 发明申请

US20110229038A1 Feature Design for HMM Based Eastern Asian Character Recognition 有权
标题翻译：基于HMM的东亚字符识别功能设计
公开(公告)号：US20110229038A1
公开(公告)日：2011-09-22
申请号：US13118045
申请日：2011-05-27
申请人： Yu Zou , Ming Chang , Shi Han , Dongmei Zhang , Jian Wang
发明人： Yu Zou , Ming Chang , Shi Han , Dongmei Zhang , Jian Wang
IPC分类号： G06K9/18
CPC分类号： G06K9/00416 , G06K2209/011
摘要： An exemplary method for online character recognition of East Asian characters includes acquiring time sequential, online ink data for a handwritten East Asian character, conditioning the ink data to produce conditioned ink data where the conditioned ink data includes information as to writing sequence of the handwritten East Asian character and extracting features from the conditioned ink data where the features include a tangent feature, a curvature feature, a local length feature, a connection point feature and an imaginary stroke feature. Such a method may determine neighborhoods for ink data and extract features for each neighborhood. An exemplary Hidden Markov Model based character recognition system may use various exemplary methods for training and character recognition.
摘要翻译：用于东亚字符的在线字符识别的示例性方法包括获取用于手写东亚字符的时间顺序在线墨水数据，调节墨水数据以产生经调节的墨水数据，其中调节的墨水数据包括关于写入东方手写的顺序的信息亚洲字符和从调节的墨水数据中提取特征，其中特征包括切线特征，曲率特征，局部长度特征，连接点特征和假想笔划特征。这种方法可以确定墨水数据的邻域并提取每个邻域的特征。基于示例性的基于隐马尔可夫模型的角色识别系统可以使用用于训练和角色识别的各种示例性方法。

8. 发明授权

US07903877B2 Radical-based HMM modeling for handwritten East Asian characters 有权
标题翻译：用于手写东亚字符的基于激进的HMM建模
公开(公告)号：US07903877B2
公开(公告)日：2011-03-08
申请号：US11682722
申请日：2007-03-06
申请人： Shi Han , Yu Zou , Ming Chang , Peng Liu , Yi-Jian Wu , Lei Ma , Frank Soong , Dongmei Zhang , Jian Wang
发明人： Shi Han , Yu Zou , Ming Chang , Peng Liu , Yi-Jian Wu , Lei Ma , Frank Soong , Dongmei Zhang , Jian Wang
IPC分类号： G06K9/00 , G06K9/18
CPC分类号： G06K9/00879
摘要： Exemplary methods, systems, and computer-readable media for developing, training and/or using models for online handwriting recognition of characters are described. An exemplary method for building a trainable radical-based HMM for use in character recognition includes defining radical nodes, where a radical node represents a structural element of an character, and defining connection nodes, where a connection node represents a spatial relationship between two or more radicals. Such a method may include determining a number of paths in the radical-based HMM using subsequence direction histogram vector (SDHV) clustering and determining a number of states in the radical-based HMM using curvature scale space-based (CSS) corner detection.
摘要翻译：描述用于开发，训练和/或使用用于字符的在线手写识别的模型的示例性方法，系统和计算机可读介质。用于构建用于字符识别的可训练基于激进的基于HMM的示例性方法包括定义基本节点，其中基本节点表示字符的结构元素，并且定义连接节点，其中连接节点表示两个或更多个之间的空间关系激进分子这种方法可以包括使用子序列方向直方图向量（SDHV）聚类确定基于激进的HMM中的路径数量，并使用基于曲率空间的（CSS）角检测确定基于激进的HMM中的状态数。

9. 发明授权

US08204310B2 Feature design for HMM based Eastern Asian character recognition 有权
标题翻译：基于HMM的东亚字符识别功能设计
公开(公告)号：US08204310B2
公开(公告)日：2012-06-19
申请号：US13118045
申请日：2011-05-27
申请人： Yu Zou , Jian Wang , Dongmei Zhang , Ming Chang , Shi Han
发明人： Yu Zou , Jian Wang , Dongmei Zhang , Ming Chang , Shi Han
IPC分类号： G06K9/00
CPC分类号： G06K9/00416 , G06K2209/011
摘要： An exemplary method for online character recognition of East Asian characters includes acquiring time sequential, online ink data for a handwritten East Asian character, conditioning the ink data to produce conditioned ink data where the conditioned ink data includes information as to writing sequence of the handwritten East Asian character and extracting features from the conditioned ink data where the features include a tangent feature, a curvature feature, a local length feature, a connection point feature and an imaginary stroke feature. Such a method may determine neighborhoods for ink data and extract features for each neighborhood. An exemplary Hidden Markov Model based character recognition system may use various exemplary methods for training and character recognition.
摘要翻译：用于东亚字符的在线字符识别的示例性方法包括获取用于手写东亚字符的时间顺序在线墨水数据，调节墨水数据以产生经调节的墨水数据，其中调节的墨水数据包括关于写入东方手写的顺序的信息亚洲字符和从调节的墨水数据中提取特征，其中特征包括切线特征，曲率特征，局部长度特征，连接点特征和假想笔划特征。这种方法可以确定墨水数据的邻域并提取每个邻域的特征。基于示例性的基于隐马尔可夫模型的角色识别系统可以使用用于训练和角色识别的各种示例性方法。

10. 发明授权

US07974472B2 Feature design for HMM based Eastern Asian character recognition 失效
标题翻译：基于HMM的东亚字符识别功能设计
公开(公告)号：US07974472B2
公开(公告)日：2011-07-05
申请号：US11772032
申请日：2007-06-29
申请人： Yu Zou , Ming Chang , Shi Han , Dongmei Zhang , Jian Wang
发明人： Yu Zou , Ming Chang , Shi Han , Dongmei Zhang , Jian Wang
IPC分类号： G06K9/00
CPC分类号： G06K9/00416 , G06K2209/011
摘要： An exemplary method for online character recognition of East Asian characters includes acquiring time sequential, online ink data for a handwritten East Asian character, conditioning the ink data to produce conditioned ink data where the conditioned ink data includes information as to writing sequence of the handwritten East Asian character and extracting features from the conditioned ink data where the features include a tangent feature, a curvature feature, a local length feature, a connection point feature and an imaginary stroke feature. Such a method may determine neighborhoods for ink data and extract features for each neighborhood. An exemplary Hidden Markov Model based character recognition system may use various exemplary methods for training and character recognition.
摘要翻译：用于东亚字符的在线字符识别的示例性方法包括获取用于手写东亚字符的时间顺序在线墨水数据，调节墨水数据以产生经调节的墨水数据，其中调节的墨水数据包括关于写入东方手写的顺序的信息亚洲字符和从调节的墨水数据中提取特征，其中特征包括切线特征，曲率特征，局部长度特征，连接点特征和假想笔划特征。这种方法可以确定墨水数据的邻域并提取每个邻域的特征。基于示例性的基于隐马尔可夫模型的角色识别系统可以使用用于训练和角色识别的各种示例性方法。

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