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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：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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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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4.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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5.发明授权Displaying automatically recognized text in proximity to a source image to assist comparibility 有权在源图像附近显示自动识别的文本，以协助可比性公开(公告)号：US08718367B1
公开(公告)日：2014-05-06
申请号：US12501060
申请日：2009-07-10
申请人： James Alan Schneider , Rajalakshmi Ganesan , Lionel Roy , George Chiramattel Kunjachan , Thanuj Thyagarajan Kambil , Sumeet Bansal , Bibhakar Ranjan
发明人： James Alan Schneider , Rajalakshmi Ganesan , Lionel Roy , George Chiramattel Kunjachan , Thanuj Thyagarajan Kambil , Sumeet Bansal , Bibhakar Ranjan
IPC分类号： G06K9/18
CPC分类号： G06K9/2054 , G06K9/033 , G06K2209/01
摘要： One embodiment of the present invention provides a system that facilitates displaying automatically recognized text, wherein the automatically recognized text includes optical character recognition (OCR) text or intelligent character recognition (ICR) text. During operation, the system receives a source image containing text from a user. Next, the system performs a character-recognition operation on the source image to produce recognized text. The system then locates a data field within the source image. Next, the system identifies a subset of the recognized text that corresponds with the data field. After that, the system displays the source image to the user. At the same time, the system displays the subset of the recognized text in close proximity to the data field in the source image to facilitate comparing the recognized text with the text contained in the source image.
摘要翻译： 本发明的一个实施例提供一种便于显示自动识别的文本的系统，其中自动识别的文本包括光学字符识别（OCR）文本或智能字符识别（ICR）文本。 在操作期间，系统从用户接收包含文本的源图像。 接下来，系统对源图像执行字符识别操作以产生识别的文本。 然后，系统在源图像中定位数据字段。 接下来，系统识别与数据字段对应的识别文本的子集。 之后，系统会向用户显示源图像。 同时，系统显示识别的文本的子集，紧邻源图像中的数据字段，以便将识别的文本与源图像中包含的文本进行比较。
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