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31. 发明授权

US09225876B2 Method and apparatus for using an enlargement operation to reduce visually detected defects in an image 有权
标题翻译：用于使用放大操作来减少图像中的视觉上检测到的缺陷的方法和装置
公开(公告)号：US09225876B2
公开(公告)日：2015-12-29
申请号：US14317246
申请日：2014-06-27
申请人： Mikhail Kostyukov , Ivan Zagaynov
发明人： Mikhail Kostyukov , Ivan Zagaynov
IPC分类号： H04N1/393 , H04N1/409 , H04N1/387
CPC分类号： H04N1/393 , H04N1/387 , H04N1/3876 , H04N1/3935 , H04N1/409 , H04N1/4092
摘要： Systems and method for improving the quality of document images are provided. One method includes identifying a plurality of image fragments within a previously received document image that includes text. The method further includes separating the plurality of image fragments into a plurality of classes. Each class includes a subset of the plurality of image fragments that are substantially similar to one another. The method further includes, for each of the plurality of classes: (1) processing a class of image fragments to generate a combined and substantially enlarged image fragment for the class; and (2) filtering the combined and substantially enlarged image fragment to generate a filtered image fragment for the class. The method further includes generating an improved document image by replacing or modifying the image fragments within the document image based on the filtered image fragments.
摘要翻译：提供了提高文档图像质量的系统和方法。一种方法包括识别先前接收的包括文本的文档图像中的多个图像片段。该方法还包括将多个图像片断分成多个类。每个类包括彼此基本相似的多个图像片段的子集。对于多个类别中的每一个，该方法还包括：（1）处理一类图像片段以产生用于该类的组合和实质上放大的图像片段; 和（2）过滤组合的和基本上放大的图像片段以产生用于该类的滤波图像片段。该方法还包括通过基于滤波的图像片段替换或修改文档图像内的图像片段来生成改进的文档图像。

32. 发明申请

US20150331852A1 FINDING AN APPROPRIATE MEANING OF AN ENTRY IN A TEXT 有权
标题翻译：找到一个文本中的入口的适当意义
公开(公告)号：US20150331852A1
公开(公告)日：2015-11-19
申请号：US14654749
申请日：2013-12-24
申请人： ABBYY DEVELOPMENT LLC
发明人： Alexander Gennadievich Rylov , Ivan Sergeevich Arkhipov
IPC分类号： G06F17/27 , G06F17/21
CPC分类号： G06F17/2785 , G06F17/21 , G06F17/271 , G06F17/2735
摘要： Disclosed are systems, computer-readable mediums, and methods for providing a meaning of an entry in a text is described. A lexico-morphological analysis is performed on the text. A syntactical analysis is performed on the text. A semantic analysis is performed on the text. A syntactical structure and a semantic structure for the entry is chosen. One or more syntactic links between each alternative meaning of words in proximity to the entry is determined. A weight is determined. One or more semantic links between each word in proximity to the entry are determined. For each semantic link, a weight associated with each semantic link is determined; and based on the weights associated with each semantic and syntactic link, determining meaning of the entry.
摘要翻译：公开了用于提供文本中的条目的含义的系统，计算机可读介质和方法。对文本进行词典 - 形态分析。对文本进行语法分析。对文本进行语义分析。选择语法结构和语义结构。确定在条目附近的单词的每个备选含义之间的一个或多个句法链接。确定重量。确定在该条目附近的每个单词之间的一个或多个语义链接。对于每个语义链接，确定与每个语义链接相关联的权重; 并且基于与每个语义和句法链接相关联的权重，确定条目的含义。

33. 发明授权

US09129098B2 Methods of protecting software programs from unauthorized use 有权
标题翻译：保护软件程序免遭未经授权使用的方法
公开(公告)号：US09129098B2
公开(公告)日：2015-09-08
申请号：US13244269
申请日：2011-09-23
申请人： Eugene Indenbom
发明人： Eugene Indenbom
IPC分类号： G06F21/00 , G06F21/12
CPC分类号： G06F21/128
摘要： A method for controlling or protecting the use of a software licensed product is provided. The method comprises, for example, encrypting protected data associated with the software licensed product with a key derived from code of a licensing module, distributing the encrypted protected data associated with the software licensed product to user devices, tracking usage of a software licensed product, and for all but one instance of the usage of the software licensed product terminating the usage of the software license product by allowing execution of the software licensed product upon successful decryption of the encrypted protected data.
摘要翻译：提供了一种用于控制或保护使用软件许可产品的方法。该方法包括例如使用从许可模块的代码导出的密钥来加密与软件许可产品相关联的受保护数据，将与软件许可产品相关联的加密保护数据分发给用户设备，跟踪软件许可产品的使用，并且除了一个使用软件许可产品的一个实例之外，通过允许在成功解密加密的受保护数据之后执行软件许可产品来终止软件许可证产品的使用。

34. 发明授权

US09015573B2 Object recognition and describing structure of graphical objects 有权
标题翻译：图形对象的对象识别和描述结构
公开(公告)号：US09015573B2
公开(公告)日：2015-04-21
申请号：US13449240
申请日：2012-04-17
申请人： Konstantin Zuev , Diar Tuganbaev , Irina Filimonova
发明人： Konstantin Zuev , Diar Tuganbaev , Irina Filimonova
IPC分类号： G06F3/00 , G06K9/00
CPC分类号： G06K9/00456 , G06K9/00463
摘要： Methods for processing machine-readable forms or documents of non-fixed format are disclosed. The methods make use of, for example, a structural description of characteristics of document elements, a description of a logical structure of the document, and methods of searching for document elements by using the structural description. A structural description of the spatial and parametric characteristics of document elements and the logical connections between elements may include a hierarchical logical structure of the elements, specification of an algorithm of determining the search constraints, specification of characteristics of searched elements, and specification of a set of parameters for a compound element identified on the basis of the aggregate of its components. The method of describing the logical structure of a document and methods of searching for elements of a document may be based on the use of the structural description.
摘要翻译：公开了用于处理非固定格式的机器可读形式或文档的方法。这些方法利用例如文档元素的特征的结构性描述，文档的逻辑结构的描述以及通过使用结构描述搜索文档元素的方法。文档元素的空间和参数特征以及元素之间的逻辑连接的结构描述可以包括元素的分层逻辑结构，确定搜索约束的算法的规范，搜索元素的特征的规范以及集合的规范基于其组分的总数确定的复合元素的参数。描述文档的逻辑结构的方法和搜索文档的元素的方法可以基于结构描述的使用。

35. 发明授权

US09014479B2 Method and system for text-image orientation 有权
标题翻译：文本图像取向的方法和系统
公开(公告)号：US09014479B2
公开(公告)日：2015-04-21
申请号：US13715896
申请日：2012-12-14
申请人： Yuri Chulinin
发明人： Yuri Chulinin
IPC分类号： G06K9/46
CPC分类号： G06K9/46 , G06K9/3208 , G06K2209/011
摘要： The current application is directed to a method and system for automatically determining the sense orientation of regions of scanned-document images that include symbols and characters of languages that are not written as simple sequential strings of alphabetic characters. In one implementation, the sense-orientation method and system to which the current application is directed employs a relatively small set of orientation-marker characters that occur frequently in printed text and that lack rotational symmetry. In this implementation, text-character images within a region of a scanned-document image are compared to each of a set of orientation-marker patterns corresponding to orientation-marker characters in order to identify images corresponding to orientation-marker patterns in the text-containing region of the scanned-document image and to determine an overall sense orientation for the text-containing region of the scanned-document image based on the orientations of the identified orientation-marker patterns.
摘要翻译：目前的应用涉及一种方法和系统，用于自动确定扫描文档图像的区域的感觉取向，其包括不被写为简单的字母字符串的字符的符号和字符。在一个实现中，当前应用所针对的感觉取向方法和系统使用在印刷文本中频繁出现并且缺少旋转对称性的相对较小的一组取向标记字符。在该实现中，将扫描文档图像的区域内的文本字符图像与对应于取向标记字符的一组取向标记图案中的每一个进行比较，以便识别与文本图像中的取向标记图案相对应的图像，并且基于所识别的取向标记图案的取向来确定扫描文档图像的文本包含区域的整体感觉方位。

36. 发明申请

US20150085327A1 METHOD AND APPARATUS FOR USING AN ENLARGEMENT OPERATION TO REDUCE VISUALLY DETECTED DEFECTS IN AN IMAGE 有权
公开(公告)号：US20150085327A1
公开(公告)日：2015-03-26
申请号：US14317246
申请日：2014-06-27
申请人： Mikhail Kostyukov , Ivan Zagaynov
发明人： Mikhail Kostyukov , Ivan Zagaynov
IPC分类号： H04N1/393 , H04N1/387 , H04N1/409
CPC分类号： H04N1/393 , H04N1/387 , H04N1/3876 , H04N1/3935 , H04N1/409 , H04N1/4092
摘要： Systems and method for improving the quality of document images are provided. One method includes identifying a plurality of image fragments within a previously received document image that includes text. The method further includes separating the plurality of image fragments into a plurality of classes. Each class includes a subset of the plurality of image fragments that are substantially similar to one another. The method further includes, for each of the plurality of classes: (1) processing a class of image fragments to generate a combined and substantially enlarged image fragment for the class; and (2) filtering the combined and substantially enlarged image fragment to generate a filtered image fragment for the class. The method further includes generating an improved document image by replacing or modifying the image fragments within the document image based on the filtered image fragments.

37. 发明申请

US20150085326A1 METHOD AND APPARATUS FOR USING AN ENLARGEMENT OPERATION TO REDUCE VISUALLY DETECTED DEFECTS IN AN IMAGE 有权
标题翻译：使用放大操作来减少图像中的视觉检测缺陷的方法和装置
公开(公告)号：US20150085326A1
公开(公告)日：2015-03-26
申请号：US14314081
申请日：2014-06-25
申请人： Mikhail Kostyukov , Ivan Zagaynov
发明人： Mikhail Kostyukov , Ivan Zagaynov
IPC分类号： H04N1/409 , H04N1/387 , H04N1/393
CPC分类号： H04N1/409 , H04N1/387 , H04N1/3871 , H04N1/393 , H04N1/3935 , H04N1/4092
摘要： Systems and method for improving the quality of document images are provided. One method includes identifying a plurality of image fragments within a previously received document image that includes text. The method further includes separating the plurality of image fragments into a plurality of classes. Each class includes a subset of the plurality of image fragments that are substantially similar to one another. The method further includes, for each of the plurality of classes: (1) processing a class of image fragments to generate a combined and substantially enlarged image fragment for the class; and (2) filtering the combined and substantially enlarged image fragment to generate a filtered image fragment for the class. The method further includes generating an improved document image by replacing or modifying the image fragments within the document image based on the filtered image fragments.
摘要翻译：提供了提高文档图像质量的系统和方法。一种方法包括识别先前接收的包括文本的文档图像中的多个图像片段。该方法还包括将多个图像片断分成多个类。每个类包括彼此基本相似的多个图像片段的子集。对于多个类别中的每一个，该方法还包括：（1）处理一类图像片段以产生用于该类的组合和实质上放大的图像片段; 和（2）过滤组合的和基本上放大的图像片段以产生用于该类的滤波图像片段。该方法还包括通过基于滤波的图像片段替换或修改文档图像内的图像片段来生成改进的文档图像。

38. 发明授权

US08935265B2 Document journaling 有权
标题翻译：文件日记
公开(公告)号：US08935265B2
公开(公告)日：2015-01-13
申请号：US13221746
申请日：2011-08-30
申请人： Ding-Yuan Tang
发明人： Ding-Yuan Tang
IPC分类号： G06F7/00 , G06F17/30 , G06F17/24
CPC分类号： G06F17/30722 , G06F17/241
摘要： A method, device and system for acquiring information related to annotations and the content of a document. Annotations are isolated from document content and are associated with portions of the content of the document. Annotations and content are used as a basis for a semantic search of a corpus of other documents. From the corpus, related information is extracted and presented or made available along side of or with the original content and annotations of the document. Each version of a document is stored and made accessible. Any of the versions of a document, with or without a current set of annotations, may be distributed to others for further review and annotation. Annotations are protected and associated with a level of privilege or rights. Annotations are trackable over time and location and are associated with a particular annotator.
摘要翻译：一种用于获取与注释和文档内容有关的信息的方法，装置和系统。注释与文档内容隔离，并与文档内容的部分内容相关联。注释和内容被用作对其他文档的语料库进行语义搜索的基础。从语料库中，相关信息被提取出来，或者与文档的原始内容和注释一起提供或提供。文档的每个版本被存储并使其可访问。文档的任何版本，具有或不具有当前注释集合，可以分发给其他用户进行进一步的审查和注释。注释被保护，并与一定程度的权限或权限相关联。注释可随时间和位置跟踪，并与特定注释器相关联。

39. 发明申请

US20140307959A1 METHOD AND SYSTEM OF PRE-ANALYSIS AND AUTOMATED CLASSIFICATION OF DOCUMENTS 审中-公开
标题翻译：预分析方法与系统及文件自动分类
公开(公告)号：US20140307959A1
公开(公告)日：2014-10-16
申请号：US14314892
申请日：2014-06-25
申请人： Irina Filimonova , Sergey Zlobin , Andrey Myakutin
发明人： Irina Filimonova , Sergey Zlobin , Andrey Myakutin
IPC分类号： G06K9/00 , G06K9/46 , G06K9/62
CPC分类号： G06K9/00469 , G06K9/00449 , G06K9/46 , G06K9/6202 , G06K9/626 , G06K2209/01
摘要： Automatic classification of different types of documents is disclosed. An image of a form or document is captured. The document is assigned to one or more type definitions by identifying one or more objects within the image of the document. A matching model is selected via identification of the document image. In the case of multiple identifications, a profound analysis of the document type is performed—either automatically or manually. An automatic classifier may be trained with document samples of each of a plurality of document classes or document types where the types are known in advance or a system of classes may be formed automatically without a priori information about types of samples. An automatic classifier determines possible features and calculates a range of feature values and possible other feature parameters for each type or class of document. A decision tree, based on rules specified by a user, may be used for classifying documents. Processing, such as optical character recognition (OCR), may be used in the classification process.
摘要翻译：披露不同类型文件的自动分类。捕获表单或文档的图像。通过识别文档图像中的一个或多个对象，将文档分配给一个或多个类型定义。通过文档图像的识别来选择匹配模型。在多个标识的情况下，对文档类型进行深入分析，可以自动或手动执行。可以使用预先知道类型的多个文档类别或文档类型中的每一个的文档样本来训练自动分类器，或者可以自动形成类的系统而不关于样本类型的先验信息。自动分类器确定可能的特征，并计算每种类型或类别的文档的特征值范围和可能的其他特征参数。基于用户指定的规则的决策树可以用于对文档进行分类。在分类过程中可以使用诸如光学字符识别（OCR）的处理。

40. 发明授权

US08861856B2 Model-based methods of document logical structure recognition in OCR systems 有权
标题翻译：基于模型的OCR系统文档逻辑结构识别方法
公开(公告)号：US08861856B2
公开(公告)日：2014-10-14
申请号：US13597020
申请日：2012-08-28
申请人： Dmitry Deryagin , Konstantin Anisimovich
发明人： Dmitry Deryagin , Konstantin Anisimovich
IPC分类号： G06K9/34 , G06K9/00 , G06T7/00
CPC分类号： G06T7/0061 , G06K9/00469
摘要： The invention relates to methods for determining a logical structure of a document. The system stores a collection of models, each of which describes one or more possible logical structures. At least one document hypothesis is generated for the whole document. For each document hypothesis, the system verifies the document hypothesis on each page, for example, by generating at least one block hypothesis for each block in the document based on the document hypothesis, selecting a best block hypothesis for each block, selecting the model that corresponds to a best document hypothesis the document hypothesis that has a best degree of correspondence with the selected best block hypotheses for the document, and forming a representation of the document based on the best document hypothesis described.
摘要翻译：本发明涉及用于确定文档的逻辑结构的方法。系统存储模型集合，每个模型描述一个或多个可能的逻辑结构。为整个文档生成至少一个文档假设。对于每个文档假设，系统在每个页面上验证文档假设，例如，通过基于文档假设为文档中的每个块生成至少一个块假设，为每个块选择最佳块假设，选择模型对应于最佳文件假设，文档假设与文档的所选最佳块假设具有最佳程度的对应关系，并且基于所描述的最佳文档假设形成文档的表示。

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