Content-based detection and three dimensional geometric reconstruction of objects in image and video data

    公开(公告)号:US11481878B2

    公开(公告)日:2022-10-25

    申请号:US16997800

    申请日:2020-08-19

    Applicant: Kofax, Inc.

    Abstract: Systems, computer program products, and techniques for detecting and/or reconstructing objects depicted in digital image data within a three-dimensional space are disclosed. The concepts utilize internal features for detection and reconstruction, avoiding reliance on information derived from location of edges. The inventive concepts provide an improvement over conventional techniques since objects may be detected and/or reconstructed even when edges are obscured or not depicted in the digital image data. In one aspect, detecting a document depicted in a digital image includes: detecting a plurality of identifying features of the document, wherein the plurality of identifying features are located internally with respect to the object; projecting a location of one or more edges of the document based at least in part on the plurality of identifying features; and outputting the projected location of the one or more edges of the document to a display of a computer, and/or a memory.

    Iterative recognition-guided thresholding and data extraction

    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.

    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

    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.

    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.

    Smart optical input/output (I/O) extension for context-dependent workflows

    公开(公告)号:US10380237B2

    公开(公告)日:2019-08-13

    申请号:US15672215

    申请日:2017-08-08

    Applicant: Kofax, Inc.

    Abstract: Systems, methods, and computer program products for smart, automated capture of textual information using optical sensors of a mobile device, and selective provision of such textual information to a user interface for facilitating performance of downstream workflows are disclosed. The capture and provision is context-aware, and determines context of the optical input, and optionally invokes a contextually-appropriate workflow based thereon. The techniques also provide capability to normalize, correct, and/or validate the captured optical input and provide the corrected, normalized, validated, etc. information to the contextually-appropriate workflow. As a result, the overall process of capturing information from optical input using a mobile device, invoking an appropriate workflow, and providing captured information to the workflow is significantly simplified and improved in terms of accuracy of data transfer/entry, speed and efficiency of workflows, and user experience.

    OBJECT DETECTION AND IMAGE CROPPING USING A MULTI-DETECTOR APPROACH

    公开(公告)号:US20190164313A1

    公开(公告)日:2019-05-30

    申请号:US16206926

    申请日:2018-11-30

    Applicant: Kofax, Inc.

    Abstract: Computer-implemented methods for detecting objects within digital image data based on color transitions include: receiving or capturing a digital image depicting an object; sampling color information from a first plurality of pixels of the digital image; optionally sampling color information from a second plurality of pixels of the digital image; generating or receiving a representative background color profile based on the color information sampled from the first plurality of pixels; generating or receiving a representative foreground color profile based on the color information sampled from the second plurality of pixels and/or the first plurality of pixels; assigning each pixel a label; binarizing the digital image based on the labels; detecting contour(s) within the binarized digital image; and defining edge(s) of the object based on the detected contour(s). Corresponding systems and computer program products configured to perform the inventive methods are also described.

    Systems and methods for organizing data sets

    公开(公告)号:US10235446B2

    公开(公告)日:2019-03-19

    申请号:US15666409

    申请日:2017-08-01

    Applicant: Kofax, Inc.

    Abstract: According to one embodiment, a computer-implemented method for cleaning up a data set having a possible incorrect label includes: selecting a plurality of training documents; estimating a quality of an organization of a plurality of categories; and determining whether the quality of the organization is greater than a predetermined quality threshold. Corresponding system and computer program product embodiments are also presented. Other aspects and advantages of the present invention will become apparent from the following detailed description, which, when taken in conjunction with the drawings, illustrate by way of example the principles of the invention.

    Building classification and extraction models based on electronic forms

    公开(公告)号:US10140511B2

    公开(公告)日:2018-11-27

    申请号:US15396322

    申请日:2016-12-30

    Applicant: Kofax, Inc.

    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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