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    • 70. 发明申请
    • ITERATIVE RECOGNITION-GUIDED THRESHOLDING AND DATA EXTRACTION
    • 迭代识别引导和数据提取
    • US20170024629A1
    • 2017-01-26
    • US15214351
    • 2016-07-19
    • Kofax, Inc.
    • Christopher W. ThrasherAlexander ShustorovichStephen Michael ThompsonJan W. AmtrupAnthony Macciola
    • G06K9/34G06T7/00G06K9/38
    • G06K9/34G06K9/3233G06K9/38G06K9/4638G06T7/11G06T7/136G06T7/187G06T2207/20104
    • 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.
    • 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。