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    • 54. 发明授权
    • Rectification of characters and text as transform invariant low-rank textures
    • 将字符和文本整理为变形不变的低阶纹理
    • US08774558B2
    • 2014-07-08
    • US13310730
    • 2011-12-03
    • Xin ZhangZhengdong ZhangXiao LiangZhouchen LinYi Ma
    • Xin ZhangZhengdong ZhangXiao LiangZhouchen LinYi Ma
    • G06K9/36G06K9/32
    • G06K9/3275G06K9/6249G06K2209/01
    • A “Text Rectifier” provides various techniques for processing selected regions of an image containing text or characters by treating those images as matrices of low-rank textures and using a rank minimization technique that recovers and removes image deformations (e.g., affine and projective transforms as well as general classes of nonlinear transforms) while rectifying the text or characters in the image region. Once distortions have been removed and the text or characters rectified, the resulting text is made available for a variety of uses or further processing such as optical character recognition (OCR). In various embodiments, binarization and/or inversion techniques are applied to the selected image regions during the rank minimization process to both improve text rectification and to present the resulting images of text to an OCR engine in a form that enhances the accuracy of the OCR results.
    • “文本整流器”提供了通过将这些图像作为低阶纹理矩阵来处理包含文本或字符的图像的所选区域的各种技术,并且使用恢复和去除图像变形的秩最小化技术(例如,仿射和投影变换为 以及非线性变换的一般类),同时整理图像区域中的文本或字符。 一旦失真被消除并且文本或者字符被纠正,所得到的文本可用于各种用途或进一步的处理,例如光学字符识别(OCR)。 在各种实施例中,在秩最小化处理期间将二值化和/或反转技术应用于所选择的图像区域,以改善文本校正,并以提高OCR结果的准确性的形式向OCR引擎呈现文本的所得图像 。
    • 56. 发明申请
    • RECTIFICATION OF CHARACTERS AND TEXT AS TRANSFORM INVARIANT LOW-RANK TEXTURES
    • 字符和文本的修正作为变换不变的低排序纹理
    • US20120134588A1
    • 2012-05-31
    • US13310730
    • 2011-12-03
    • Xin ZhangZhengdong ZhangXiao LiangZhouchen LinYi Ma
    • Xin ZhangZhengdong ZhangXiao LiangZhouchen LinYi Ma
    • G06K9/34
    • G06K9/3275G06K9/6249G06K2209/01
    • A “Text Rectifier” provides various techniques for processing selected regions of an image containing text or characters by treating those images as matrices of low-rank textures and using a rank minimization technique that recovers and removes image deformations (e.g., affine and projective transforms as well as general classes of nonlinear transforms) while rectifying the text or characters in the image region. Once distortions have been removed and the text or characters rectified, the resulting text is made available for a variety of uses or further processing such as optical character recognition (OCR). In various embodiments, binarization and/or inversion techniques are applied to the selected image regions during the rank minimization process to both improve text rectification and to present the resulting images of text to an OCR engine in a form that enhances the accuracy of the OCR results.
    • “文本整流器”提供了通过将这些图像作为低阶纹理矩阵来处理包含文本或字符的图像的选定区域的各种技术,并且使用恢复和去除图像变形的秩最小化技术(例如,仿射和投影变换为 以及非线性变换的一般类),同时整理图像区域中的文本或字符。 一旦失真被消除并且文本或者字符被纠正,则所得到的文本可用于各种用途或进一步的处理,例如光学字符识别(OCR)。 在各种实施例中,在秩最小化处理期间将二值化和/或反转技术应用于所选择的图像区域,以改善文本校正,并以提高OCR结果的准确性的形式向OCR引擎呈现文本的所得图像 。