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    SELECTIVE, USER-MEDIATED CONTENT RECOGNITION USING MOBILE DEVICES
    41.
    发明申请
    SELECTIVE, USER-MEDIATED CONTENT RECOGNITION USING MOBILE DEVICES 审中-公开
    选择性，用户介绍的使用移动设备的内容识别

    公开(公告)号：US20160259974A1

    公开(公告)日：2016-09-08

    申请号：US15059242

    申请日：2016-03-02

    Applicant: Kofax, Inc.

    Inventor： Anthony Macciola ,  Alexander Shustorovich ,  Christopher W. Thrasher ,  Jan W. Amtrup

    IPC: G06K9/00 ,  G06K9/20 ,  G06K9/22

    CPC classification number: G06K9/00463 ,  G06K9/2081 ,  G06K9/22 ,  G06K9/3208 ,  G06K9/325 ,  G06K2209/01

    Abstract: A method includes: displaying a digital image on a first portion of a display of a mobile device; receiving user feedback via the display of the mobile device; analyzing the user feedback to determine a meaning of the user feedback; based on the determined meaning of the user feedback, analyzing a portion of the digital image corresponding to either the point of interest or the region of interest to detect one or more connected components depicted within the portion of the digital image; classifying each detected connected component depicted within the portion of the digital image; estimating an identity of each detected connected component based on the classification of the detected connected component; and one or more of: displaying the identity of each detected connected component on a second portion of the display of the mobile device; and providing the identity of each detected connected component to a workflow.

    Abstract translation: 一种方法包括：在移动设备的显示器的第一部分上显示数字图像; 通过移动设备的显示接收用户反馈; 分析用户反馈以确定用户反馈的含义; 基于所确定的用户反馈意义，分析对应于感兴趣点或感兴趣区域的数字图像的一部分，以检测在数字图像的该部分内描绘的一个或多个连接的组件; 对在数字图像的部分内描绘的每个检测到的连接分量进行分类; 基于检测到的连接分量的分类来估计每个检测到的连接分量的身份; 以及一个或多个：在移动设备的显示器的第二部分上显示每个检测到的连接分量的身份; 并将每个检测到的连接的组件的身份提供给工作流。

    MACHINE PRINT, HAND PRINT, AND SIGNATURE DISCRIMINATION
    43.
    发明申请
    MACHINE PRINT, HAND PRINT, AND SIGNATURE DISCRIMINATION 有权
    机器打印，手动打印和签名辨别

    公开(公告)号：US20150347836A1

    公开(公告)日：2015-12-03

    申请号：US14726335

    申请日：2015-05-29

    Applicant: Kofax, Inc.

    Inventor： Alexander Shustorovich ,  Christopher W. Thrasher ,  Anthony Macciola ,  Jan W. Amtrup

    IPC: G06K9/00 ,  G06K9/18

    CPC classification number: G06K9/00422 ,  G06K9/00187 ,  G06K9/346

    Abstract: Systems, computer program products, and techniques for discriminating hand and machine print from each other, and from signatures, are disclosed and include determining a color depth of an image, the color depth corresponding to at least one of grayscale, bi-tonal and color; reducing color depth of non-bi-tonal images to generate a bi-tonal representation of the image; identifying a set of one or more graphical line candidates in either the bi-tonal image or the bi-tonal representation, the graphical line candidates including one or more of true graphical lines and false positives; discriminating any of the true graphical lines from any of the false positives; removing the true graphical lines from the bi-tonal image or the bi-tonal representation without removing the false positives to generate a component map comprising connected components and excluding graphical lines; and identifying one or more of the connected components in the component map.

    Abstract translation: 公开了系统，计算机程序产品以及用于区分手和打印机和从签名的技术，并且包括确定图像的颜色深度，对应于灰度级，双色调和颜色中的至少一个的颜色深度 ; 减少非双色调图像的颜色深度以产生图像的双色调表示; 在双色调图像或双色调表示中识别一组一个或多个图形线候选，所述图形线候选包括真实图形线和假阳性中的一个或多个; 区分任何真实图形线与任何假阳性; 从双色调图像或双色调表示中去除真实的图形线，而不去除假阳性以生成包括连接的组件并排除图形线的分量图; 以及识别组件图中的一个或多个连接的组件。

    Iterative recognition-guided thresholding and data extraction
    46.
    发明授权
    Iterative recognition-guided thresholding and data extraction 有权

    公开(公告)号：US11062163B2

    公开(公告)日：2021-07-13

    申请号：US16267205

    申请日：2019-02-04

    Applicant: Kofax, Inc.

    Inventor： Christopher W. Thrasher ,  Alexander Shustorovich ,  Stephen Michael Thompson ,  Jan W. Amtrup ,  Anthony Macciola

    IPC: G06K9/34 ,  G06T7/11 ,  G06T7/136 ,  G06T7/187 ,  G06K9/32 ,  G06K9/46 ,  G06K9/38

    Abstract: Techniques for binarization and extraction of information from image data are disclosed. 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. 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; subjecting the region of interest within a digital image to a plurality of thresholding and extraction iterations; and extracting data from some or all of the plurality of binarized images. Corresponding systems and computer program products are disclosed.

    Mobile document detection and orientation based on reference object characteristics
    48.
    发明授权
    Mobile document detection and orientation based on reference object characteristics 有权

    公开(公告)号：US10699146B2

    公开(公告)日：2020-06-30

    申请号：US15672200

    申请日：2017-08-08

    Applicant: Kofax, Inc.

    Inventor： Alexander Shustorovich ,  Christopher W. Thrasher ,  Jiyong Ma ,  Anthony Macciola ,  Jan W. Amtrup

    IPC: G06K9/32 ,  G06K9/00 ,  G06K9/18

    Abstract: In various embodiments, computer program products for detecting, estimating, calculating, etc. characteristics of a document based on reference objects depicted on the document are disclosed. In one approach, a computer program product for processing a digital image depicting a document includes instructions executable by a computer for analyzing the digital image to determine one or more of a presence and a location of one or more reference objects; determining one or more geometric characteristics of at least one of the reference objects; defining one or more region(s) of interest based at least in part on one or more of the determined geometric characteristics; and detecting a presence or absence of an edge of the document within each defined region of interest. Additional embodiments leverage the type of document depicted in the image, multiple frames of image data, and/or calculate or extrapolate document edges rather than locating edges in the image.

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