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公开(公告)号：US09633476B1
公开(公告)日：2017-04-25
申请号：US12608053
申请日：2009-10-29
申请人： William T. Laaser , Gerald B. Huff
发明人： William T. Laaser , Gerald B. Huff
IPC分类号： G06T19/00
CPC分类号： G06T19/006 , G06F3/048 , G06T11/206 , G06T19/20 , G06T2219/2016
摘要： One embodiment provides a system for using Augmented Reality (AR) to facilitate displaying business graphics. The system receives at a computer system a video stream including an image of a marker, the marker being a physical object that is manipulated by the user and is recognizable by the computer system. The system recognizes the marker and receives from the user a selection of a business graphic. Next, the system renders the business graphic over the image of the marker in the video stream such that the image of the marker is obscured by the business graphic. The system then recognizes a manipulation of the marker indicated by a change in the image of the marker in the video stream. Next, the system performs an action on the business graphic that corresponds to the manipulation of the marker. Finally, the system displays the video stream to the user.
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2.发明授权Method and system for establishing electronic financial transactions between entities 有权实体之间建立电子金融交易的方法和制度公开(公告)号：US08571981B1
公开(公告)日：2013-10-29
申请号：US12362153
申请日：2009-01-29
IPC分类号： G06Q40/00
摘要： One embodiment provides a system that facilitates an electronic transaction between a set of entities. During operation, the system discovers a potential interaction between the entities and verifies a set of shared electronic transfer capabilities between the entities. Next, the system facilitates the electronic transaction between the entities by notifying one or more of the entities of the shared electronic transfer capabilities.
摘要翻译： 一个实施例提供了一种促进一组实体之间的电子交易的系统。 在操作期间，系统发现实体之间的潜在交互，并验证实体之间的一组共享电子传输能力。 接下来，该系统通过向一个或多个实体通知共享电子传送能力来促进实体之间的电子交易。
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公开(公告)号：US08714447B1
公开(公告)日：2014-05-06
申请号：US13353821
申请日：2012-01-19
IPC分类号： G06K5/00
CPC分类号： G06K5/00 , G06Q10/00 , G06Q20/4014 , G06Q40/02
摘要： During a correction technique, a computer system determines that an identifier for an individual received from a source is invalid based on a technique used to generate identifiers for individuals. In response, the computer system calculates one or more possible correct identifiers and associated confidence values based on the identifier and the source. Then, the computer system selects at least one of the possible correct identifiers as the correct identifier.
摘要翻译： 在校正技术期间，计算机系统基于用于生成个人标识符的技术，确定从源接收到的个人的标识符是无效的。 作为响应，计算机系统基于标识符和源来计算一个或多个可能的正确标识符和相关联的置信度值。 然后，计算机系统将可能的正确标识符中的至少一个选择为正确的标识符。
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公开(公告)号：US08315924B1
公开(公告)日：2012-11-20
申请号：US12497450
申请日：2009-07-02
IPC分类号： G07B17/00
CPC分类号： G06Q20/042 , G06Q30/04
摘要： One embodiment of the present invention provides a system that facilitates automated accounting. During operation, the system receives a check voucher at a system, wherein the check voucher corresponds to a check. Next, the system performs an optical character recognition (OCR) operation on the check voucher to identify a set of tokens printed on the check voucher. The system then searches a dictionary of tokens for open invoices to identify a match between the set of tokens printed on the check voucher and tokens associated with an open invoice. Next, the system determines an amount of the check by determining the value of an amount token printed on the check voucher. Finally, the system applies a payment for the amount of the check to the open invoice.
摘要翻译： 本发明的一个实施例提供一种便于自动计帐的系统。 在操作期间，系统在系统处接收支票凭证，其中支票凭证对应于支票。 接下来，系统在支票凭证上执行光学字符识别（OCR）操作，以识别打印在支票凭证上的一组令牌。 然后，系统将搜索令牌的字典用于打开的发票，以识别打印在支票凭单上的一组令牌与与未结的发票相关的令牌之间的匹配。 接下来，系统通过确定打印在支票凭证上的金额令牌的值来确定检查量。 最后，系统将支票金额支付给开立发票。
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公开(公告)号：US08280723B1
公开(公告)日：2012-10-02
申请号：US12362293
申请日：2009-01-29
申请人： William T. Laaser
发明人： William T. Laaser
IPC分类号： G06F17/21
CPC分类号： G06F17/2705
摘要： A comparison technique for efficiently comparing an input string to a set of strings is described. This set of strings may be represented in a tree structure as paths from a root of the tree structure to leaves of the tree structure, and strings in the set of strings that share common substrings share nodes in the tree structure. During the comparison technique, labels may be assigned to a given node in the tree structure based at least in part on comparisons between a given character in the input string and a character associated with the given node. These labels may include a position of the given character in the input string, and a cumulative error between the characters in a string that are associated with a branch in the tree structure and the characters in the input string that have been processed. Based at least in part on these labels, an actual string, which corresponds to the input string, may be identified.
摘要翻译： 描述用于将输入字符串与一组字符串进行有效比较的比较技术。 这组字符串可以在树结构中表示为从树结构的根到树结构的叶的路径，并且共享公共子串的字符串集合中的字符串共享树结构中的节点。 在比较技术期间，可以至少部分地基于输入字符串中的给定字符与与给定节点相关联的字符之间的比较，将标签分配给树结构中的给定节点。 这些标签可以包括输入字符串中的给定字符的位置，以及与树结构中的分支相关联的字符串中的字符与已经被处理的输入字符串中的字符之间的累积误差。 至少部分地基于这些标签，可以识别对应于输入字符串的实际字符串。
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公开(公告)号：US08150161B2
公开(公告)日：2012-04-03
申请号：US12235463
申请日：2008-09-22
CPC分类号： G06K9/72 , G06K9/03 , G06K2209/01 , G06Q40/12
摘要： Embodiments of a computer system, a method, and a computer-program product (e.g., software) for use with the computer system are described. These embodiments may be used to identify and correct errors in financial information that was extracted using character-recognition software, such as optical character recognition software and/or intelligent character recognition software. In particular, potential errors may be identified by comparing the financial information for a current financial transaction of a user with expected financial information from one or more previous financial transactions of the user. Error metrics for these potential errors may be determined and used to correct at least some of the potential errors. For example, values of the Levenshtein edit distance may be determined based on the comparison, and one or more potential errors associated with one or more minimum values of the Levenshtein edit distance may be corrected.
摘要翻译： 描述了与计算机系统一起使用的计算机系统，方法和计算机程序产品（例如，软件）的实施例。 这些实施例可以用于识别和纠正使用诸如光学字符识别软件和/或智能字符识别软件的字符识别软件提取的财务信息中的错误。 特别地，可以通过将用户的当前金融交易的财务信息与来自用户的一个或多个先前财务交易的预期财务信息进行比较来识别潜在错误。 可能会确定这些潜在错误的错误指标，并用于纠正至少一些潜在错误。 例如，可以基于比较来确定Levenshtein编辑距离的值，并且可以校正与Levenshtein编辑距离的一个或多个最小值相关联的一个或多个潜在错误。
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7.发明授权公开(公告)号：US08774471B1
公开(公告)日：2014-07-08
申请号：US12969885
申请日：2010-12-16
IPC分类号： G06K9/00
CPC分类号： G06K9/00912 , G06K9/00013 , G06K9/00892
摘要： The disclosed embodiments relate to a system that recognizes a personal object in an image and facilitates providing a related financial service. During operation, the system receives an image of an object associated with a user, where the image includes environmental features associated with the user. Next, the system extracts content from the image by processing the image (and the included environmental features) using an image-processing technique. The system then associates the extracted content with information in a pre-existing data structure, where the pre-existing data structure includes financial information associated with the object. Next, the system facilitates a financial service associated with the object based on the information. For example, the system may generate an insurance appraisal for the object based on the information.
摘要翻译： 公开的实施例涉及识别图像中的个人对象并有助于提供相关金融服务的系统。 在操作期间，系统接收与用户相关联的对象的图像，其中图像包括与用户相关联的环境特征。 接下来，系统通过使用图像处理技术处理图像（和包括的环境特征）从图像中提取内容。 然后，系统将提取的内容与预先存在的数据结构中的信息相关联，其中预先存在的数据结构包括与对象相关联的财务信息。 接下来，系统基于该信息促进与对象相关联的金融服务。 例如，系统可以基于该信息生成对象的保险鉴定。
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8.发明授权Recognizing a feature of an image independently of the orientation or scale of the image 有权识别与图像的取向或尺度无关的图像的特征公开(公告)号：US08532391B2
公开(公告)日：2013-09-10
申请号：US12895175
申请日：2010-09-30
申请人： William T. Laaser
发明人： William T. Laaser
IPC分类号： G06K9/62
CPC分类号： G06K9/32 , G06K9/3275 , G06K9/6247 , G06K2209/01
摘要： One embodiment of the present invention provides a system for recognizing a feature of an image independently of the orientation or scale of the image. During operation, the system receives an image. Next, the system identifies a feature within the image. The system then performs a principal component analysis (PCA) operation on the feature to determine an orientation of a primary component of the feature and a secondary component of the feature, wherein the PCA operation is performed while source data for the image is retained. Finally, the system recognizes the feature by analyzing the primary component of the feature and the secondary component of the feature.
摘要翻译： 本发明的一个实施例提供一种用于独立于图像的取向或尺度来识别图像的特征的系统。 在操作期间，系统接收图像。 接下来，系统识别图像内的特征。 然后，系统对特征执行主成分分析（PCA）操作以确定特征的主要分量的取向和特征的次要分量，其中在保持图像的源数据的同时执行PCA操作。 最后，系统通过分析特征的主要组件和特征的次要组件来识别特征。
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9.发明申请RECOGNIZING A FEATURE OF AN IMAGE INDEPENDENTLY OF THE ORIENTATION OR SCALE OF THE IMAGE 有权识别图像的特征，独立于图像的方向或尺度公开(公告)号：US20120082377A1
公开(公告)日：2012-04-05
申请号：US12895175
申请日：2010-09-30
申请人： William T. Laaser
发明人： William T. Laaser
CPC分类号： G06K9/32 , G06K9/3275 , G06K9/6247 , G06K2209/01
摘要： One embodiment of the present invention provides a system for recognizing a feature of an image independently of the orientation or scale of the image. During operation, the system receives an image. Next, the system identifies a feature within the image. The system then performs a principal component analysis (PCA) operation on the feature to determine an orientation of a primary component of the feature and a secondary component of the feature, wherein the PCA operation is performed while source data for the image is retained. Finally, the system recognizes the feature by analyzing the primary component of the feature and the secondary component of the feature.
摘要翻译： 本发明的一个实施例提供一种用于独立于图像的取向或尺度来识别图像的特征的系统。 在操作期间，系统接收图像。 接下来，系统识别图像内的特征。 然后，系统对特征执行主成分分析（PCA）操作以确定特征的主要分量的取向和特征的次要分量，其中在保持图像的源数据的同时执行PCA操作。 最后，系统通过分析特征的主要组件和特征的次要组件来识别特征。
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公开(公告)号：US20100074509A1
公开(公告)日：2010-03-25
申请号：US12235463
申请日：2008-09-22
CPC分类号： G06K9/72 , G06K9/03 , G06K2209/01 , G06Q40/12
摘要： Embodiments of a computer system, a method, and a computer-program product (e.g., software) for use with the computer system are described. These embodiments may be used to identify and correct errors in financial information that was extracted using character-recognition software, such as optical character recognition software and/or intelligent character recognition software. In particular, potential errors may be identified by comparing the financial information for a current financial transaction of a user with expected financial information from one or more previous financial transactions of the user. Error metrics for these potential errors may be determined and used to correct at least some of the potential errors. For example, values of the Levenshtein edit distance may be determined based on the comparison, and one or more potential errors associated with one or more minimum values of the Levenshtein edit distance may be corrected.
摘要翻译： 描述了与计算机系统一起使用的计算机系统，方法和计算机程序产品（例如，软件）的实施例。 这些实施例可以用于识别和纠正使用诸如光学字符识别软件和/或智能字符识别软件的字符识别软件提取的财务信息中的错误。 特别地，可以通过将用户的当前金融交易的财务信息与来自用户的一个或多个先前财务交易的预期财务信息进行比较来识别潜在错误。 可能会确定这些潜在错误的错误指标，并用于纠正至少一些潜在错误。 例如，可以基于比较来确定Levenshtein编辑距离的值，并且可以校正与Levenshtein编辑距离的一个或多个最小值相关联的一个或多个潜在错误。
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