ITERATIVE RECOGNITION-GUIDED THRESHOLDING AND DATA EXTRACTION

    公开(公告)号:US20190171900A1

    公开(公告)日:2019-06-06

    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.

    RANGE AND/OR POLARITY-BASED THRESHOLDING FOR IMPROVED DATA EXTRACTION

    公开(公告)号:US20200005035A1

    公开(公告)日:2020-01-02

    申请号:US16569247

    申请日:2019-09-12

    Applicant: Kofax, Inc.

    Abstract: Computerized techniques for improved binarization and extraction of information from digital image data are disclosed in accordance with various embodiments. The inventive concepts include rendering a digital image using a plurality of binarization thresholds to generate a plurality of binarized digital images, wherein at least some of the binarized digital images are generated using one or more binarization thresholds that are determined based on a priori knowledge regarding an object depicted in the digital image; identifying one or more connected components within the plurality of binarized digital images; and identifying one or more text regions within the digital image based on some or all of the connected components. Systems and computer program products are also disclosed.

    Machine print, hand print, and signature discrimination

    公开(公告)号:US10140510B2

    公开(公告)日:2018-11-27

    申请号:US15910797

    申请日:2018-03-02

    Applicant: Kofax, Inc.

    Abstract: Computer program products for discriminating hand and machine print from each other, and from signatures, are disclosed and include program code readable and/or executable by a processor to: receive an image, determine a color depth of the image; reducing the color depth of non-bi-tonal images to generate a bi-tonal representation of the image; identify 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 true graphical lines and/or false positives; discriminate any of the true graphical lines from any of the false positives; remove 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; identify one or more of the connected components in the component map; and output and/or display and indicator of each of the connected components.

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