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21.发明授权Systems, methods and computer program products for processing financial documents 有权用于处理财务文件的系统，方法和计算机程序产品公开(公告)号：US08879846B2
公开(公告)日：2014-11-04
申请号：US14175999
申请日：2014-02-07
Applicant: Kofax, Inc.
Inventor： Jan W. Amtrup , Stephen Michael Thompson
CPC classification number: G06K9/00469 , G06F17/20 , G06K9/00442 , G06Q10/10 , H04N1/40
Abstract: In one embodiment, a method includes receiving an image of a tender document; performing optical character recognition (OCR) on the image; extracting an identifier of the tender document from the image based at least in part on the OCR; comparing the extracted identifier with content from one or more data sources; requesting complementary information from at least one of the one or more data sources based at least in part on the extracted identifier; receiving the complementary information; and outputting at least some of the complementary information for display on a mobile device. Exemplary systems and computer program products are also described.
Abstract translation: 在一个实施例中，一种方法包括接收招标文件的图像; 对图像执行光学字符识别（OCR）; 至少部分地基于所述OCR从所述图像提取所述招标文件的标识符; 将提取的标识符与来自一个或多个数据源的内容进行比较; 至少部分地基于所提取的标识符从所述一个或多个数据源中的至少一个请求补充信息; 接收补充信息; 并输出至少一些所述补充信息以在移动设备上显示。 还描述了示例性系统和计算机程序产品。
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22.发明申请SYSTEMS AND METHODS FOR CLASSIFYING OBJECTS IN DIGITAL IMAGES CAPTURED USING MOBILE DEVICES 有权使用移动设备捕获的数字图像中的对象进行分类的系统和方法公开(公告)号：US20140270536A1
公开(公告)日：2014-09-18
申请号：US14209825
申请日：2014-03-13
Applicant: Kofax, Inc.
Inventor： Jan W. Amtrup , Anthony Macciola , Stephen Michael Thompson , Jiyong Ma
IPC: G06K9/00
CPC classification number: G06K9/00483 , G06K9/00442 , G06K9/00523 , G06K9/00536 , G06T7/11 , G06T2207/20104
Abstract: A method includes receiving or capturing a digital image using a mobile device, and using a processor of the mobile device to: determine whether an object depicted in the digital image belongs to a particular object class among a plurality of object classes; determine one or more object features of the object based at least in part on the particular object class at least partially in response to determining the object belongs to the particular object class; build or select an extraction model based at least in part on the one or more determined object features; and extract data from the digital image using the extraction model. The extraction model excludes, and/or the extraction process does not utilize, optical character recognition (OCR) techniques. Related systems and computer program products are also disclosed.
Abstract translation: 一种方法包括使用移动设备接收或捕获数字图像，并且使用所述移动设备的处理器来：确定所述数字图像中描绘的对象是否属于多个对象类别中的特定对象类别; 至少部分地基于所述特定对象类来至少部分地响应于确定属于所述特定对象类的对象来确定所述对象的一个或多个对象特征; 至少部分地基于一个或多个确定的对象特征构建或选择提取模型; 并使用提取模型从数字图像中提取数据。 提取模式不包括，和/或提取过程不利用光学字符识别（OCR）技术。 还公开了相关系统和计算机程序产品。
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23.发明授权公开(公告)号：US11836662B2
公开(公告)日：2023-12-05
申请号：US17674714
申请日：2022-02-17
Applicant: Kofax, Inc.
Inventor： Jiyong Ma , Stephen Michael Thompson , Jan W. Amtrup
IPC: G06F3/01 , G06Q10/0633 , G06F18/23213
CPC classification number: G06Q10/0633 , G06F18/23213
Abstract: According to one aspect, a computer-implemented method of discovering processes for robotic process automation (RPA) includes: recording a plurality of event streams, each event stream corresponding to a human user interacting with a computing device to perform one or more tasks; concatenating the event streams; segmenting some or all of the concatenated event streams to generate one or more individual traces performed by the user interacting with the computing device, each trace corresponding to a particular task; clustering the traces according to a task type; identifying, from among some or all of the clustered traces, one or more candidate processes for robotic automation; prioritizing the candidate processes; and selecting at least one of the prioritized candidate processes for robotic automation. Further aspects building upon the above include generating RPA models to perform tasks determined to be processes for RPA. Corresponding systems and computer program products are also described.
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24.发明申请公开(公告)号：US20220171988A1
公开(公告)日：2022-06-02
申请号：US17674714
申请日：2022-02-17
Applicant: Kofax, Inc.
Inventor： Jiyong Ma , Stephen Michael Thompson , Jan W. Amtrup
IPC: G06K9/62
Abstract: According to one aspect, a computer-implemented method of discovering processes for robotic process automation (RPA) includes: recording a plurality of event streams, each event stream corresponding to a human user interacting with a computing device to perform one or more tasks; concatenating the event streams; segmenting some or all of the concatenated event streams to generate one or more individual traces performed by the user interacting with the computing device, each trace corresponding to a particular task; clustering the traces according to a task type; identifying, from among some or all of the clustered traces, one or more candidate processes for robotic automation; prioritizing the candidate processes; and selecting at least one of the prioritized candidate processes for robotic automation. Further aspects building upon the above include generating RPA models to perform tasks determined to be processes for RPA. Corresponding systems and computer program products are also described.
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公开(公告)号：US20170351915A1
公开(公告)日：2017-12-07
申请号：US15686017
申请日：2017-08-24
Applicant: Kofax, Inc.
Inventor： Stephen Michael Thompson , Jan W. Amtrup , Anthony Macciola
CPC classification number: G06K9/00469 , G06F17/30256 , G06F17/3028 , G06F17/30371 , G06F17/30542 , G06K9/00442 , G06K9/00456 , G06K9/03 , G06K9/18 , G06K9/481 , G06K2209/01 , G06Q10/10 , H04N1/40 , H04N1/40062
Abstract: A computer program product includes program instructions configured to cause a processor, to: perform optical character recognition (OCR) on an image of a document; extract an identifier of the document from the image based at least in part on the OCR; compare at least portions of the identifier with content from one or more reference data sources; and determine whether the identifier is valid based at least in part on the comparison. The content comprises global address information; while the content from the reference is derived from geographic information. Deriving the content from the geographic information includes: obtaining the geographic information; and parsing the geographic information according to a set of predefined heuristic rules, where the heuristic rules are configured to normalize the global address information obtained from the one or more sources according to a single convention for representing address information.
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Patent Agency Ranking
26.发明申请公开(公告)号：US20170286764A1
公开(公告)日：2017-10-05
申请号：US15234969
申请日：2016-08-11
Applicant: Kofax, Inc.
Inventor： Jiyong Ma , Stephen Michael Thompson , Jan W. Amtrup
CPC classification number: G06K9/00463 , G06K9/00483 , G06K9/4604 , G06K9/4671 , G06T5/002 , G06T7/0081 , G06T7/11 , G06T11/60 , G06T2207/20104 , G06T2207/30176
Abstract: Systems, computer program products, and techniques for detecting objects depicted in digital image data are disclosed, according to various exemplary embodiments. The inventive concepts uniquely utilize internal features to accomplish object detection, thereby avoiding reliance on detecting object edges and/or transitions between the object and other portions of the digital image data, e.g. background textures or other objects. The inventive concepts thus provide an improvement over conventional object detection since objects may be detected even when edges are obscured or not depicted in the digital image data. In one aspect, a computer-implemented method of detecting an object depicted in a digital image includes: detecting a plurality of identifying features of the object, wherein the plurality of identifying features are located internally with respect to the object; and projecting a location of one or more edges of the object based at least in part on the plurality of identifying features.
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公开(公告)号：US20170109610A1
公开(公告)日：2017-04-20
申请号：US15396322
申请日：2016-12-30
Applicant: Kofax, Inc.
Inventor： Anthony Macciola , Jan W. Amtrup , Stephen Michael Thompson
CPC classification number: G06K9/00469 , G06F17/30011 , G06K9/00449 , G06K9/00456 , G06K9/2072 , G06K2209/01 , G06K2209/27
Abstract: According to one embodiment, a computer-implemented method is configured for building a classification and/or data extraction knowledge base using an electronic form. The method includes: receiving an electronic form having associated therewith a plurality of metadata labels, each metadata label corresponding to at least one element of interest represented within the electronic form; parsing the plurality of metadata labels to determine characteristic features of the element(s) of interest; building a representation of the electronic form based on the plurality of metadata labels; generating a plurality of permutations of the representation of the electronic form by applying a predetermined set of variations to the representation; and training either a classification model, an extraction model, or both using: the representation of the electronic form, and the plurality of permutations of the representation of the electronic form. Corresponding systems and computer program products are also disclosed.
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公开(公告)号：US20170024629A1
公开(公告)日：2017-01-26
申请号：US15214351
申请日：2016-07-19
Applicant: Kofax, Inc.
Inventor： Christopher W. Thrasher , Alexander Shustorovich , Stephen Michael Thompson , Jan W. Amtrup , Anthony Macciola
CPC classification number: G06K9/34 , G06K9/3233 , G06K9/38 , G06K9/4638 , G06T7/11 , G06T7/136 , G06T7/187 , G06T2207/20104
Abstract: Techniques for improved binarization and extraction of information from digital image data are disclosed in accordance with various embodiments. The inventive concepts include independently binarizing portions of the image data on the basis of individual features, e.g. per connected component, and using multiple different binarization thresholds to obtain the best possible binarization result for each portion of the image data independently binarized. Determining the quality of each binarization result may be based on attempted recognition and/or extraction of information therefrom. Independently binarized portions may be assembled into a contiguous result. In one embodiment, a method includes: identifying a region of interest within a digital image; generating a plurality of binarized images based on the region of interest using different binarization thresholds; and extracting data from some or all of the plurality of binarized images. Corresponding systems and computer program products are also disclosed.
Abstract translation: 根据各种实施例公开了用于从数字图像数据改进二值化和提取信息的技术。 本发明的概念包括基于各个特征来独立地二值化图像数据的部分。 并且使用多个不同的二值化阈值来获得独立二进制化的图像数据的每个部分的最佳二值化结果。 确定每个二值化结果的质量可以基于从其中的信息的尝试识别和/或提取。 独立的二值化部分可以组装成连续的结果。 在一个实施例中，一种方法包括：识别数字图像内的感兴趣区域; 使用不同的二值化阈值，基于感兴趣区域生成多个二值化图像; 以及从所述多个二值化图像中的一些或全部提取数据。 还公开了相应的系统和计算机程序产品。
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公开(公告)号：US09378268B2
公开(公告)日：2016-06-28
申请号：US14733742
申请日：2015-06-08
Applicant: Kofax, Inc.
Inventor： Mauritius A. R. Schmidtler , Jan W. Amtrup , Stephen Michael Thompson , Anthony Sarah
CPC classification number: G06F17/30598 , G06F17/30312 , G06F17/3053 , G06N99/005
Abstract: A method is provided for organizing data sets. In use, an automatic decision system is created or updated for determining whether data elements fit a predefined organization or not, where the decision system is based on a set of preorganized data elements. A plurality of data elements is organized using the decision system. At least one organized data element is selected for output to a user based on a score or confidence from the decision system for the at least one organized data element. Additionally, at least a portion of the at least one organized data element is output to the user. A response is received from the user comprising at least one of a confirmation, modification, and a negation of the organization of the at least one organized data element. The automatic decision system is recreated or updated based on the user response. Other embodiments are also presented.
Abstract translation: 提供了一种用于组织数据集的方法。 在使用中，创建或更新自动决策系统以确定数据元素是否符合预定义的组织，其中决策系统基于一组预先组织的数据元素。 使用决策系统来组织多个数据元素。 基于来自决策系统对于至少一个有组织数据元素的分数或置信度，选择至少一个有组织数据元素来输出给用户。 此外，至少一个有组织数据元素的至少一部分被输出给用户。 从用户接收到包括至少一个有组织数据元素的组织的确认，修改和否定中的至少一个的响应。 基于用户响应重新创建或更新自动决策系统。 还提出了其他实施例。
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公开(公告)号：US20160028921A1
公开(公告)日：2016-01-28
申请号：US14814455
申请日：2015-07-30
Applicant: Kofax, Inc.
Inventor： Christopher W. Thrasher , Alexander Shustorovich , Stephen Michael Thompson , Jan W. Amtrup , Anthony Macciola , Roland G. Borrey , Mauritius A.R. Schmidtler , Robert A. Taylor , Joel S. Fechter , Hari S. Asuri
CPC classification number: H04N1/4092 , G06K9/00442 , G06K9/036 , G06K9/3208 , G06K15/407 , H04N1/2338 , H04N1/40 , H04N1/40012 , H04N1/58 , H04N1/60 , H04N1/6016 , H04N1/6027 , H04N2201/0093
Abstract: An efficient method and system to enhance digital acquisition devices for analog data is presented. The enhancements offered by the method and system are available to the user in local as well as in remote deployments yielding efficiency gains for a large variety of business processes. The quality enhancements of the acquired digital data are achieved efficiently by employing virtual reacquisition. The method of virtual reacquisition renders unnecessary the physical reacquisition of the analog data in case the digital data obtained by the acquisition device are of insufficient quality. The method and system allows multiple users to access the same acquisition device for analog data. In some embodiments, one or more users can virtually reacquire data provided by multiple analog or digital sources. The acquired raw data can be processed by each user according to his personal preferences and/or requirements. The preferred processing settings and attributes are determined interactively in real time as well as non real time, automatically and a combination thereof.
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