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Correcting document image warping based on regression of curved text lines

机译:基于弯曲文本行的回归校正文档图像变形

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Image warping is a common problem when one scans or photocopies a document page from a thick bound volume, resulting in shading and curved text lines in the spine area of the bound volume. This will not only impair readability, but will also reduce the OCR accuracy. Further to our earlier attempt to correct such images, this paper proposes a simpler connected component analysis and regression technique. Compared to our earlier method, the present system is computationally less expensive and is resolution independent too. The implementation of the new system and improvement of OCR accuracy are presented in this paper.
机译:当从厚装订卷中扫描或影印文档页面时,图像变形是一个常见问题,从而导致装订卷的书脊区域出现阴影和弯曲的文本行。这不仅会损害可读性,还会降低OCR的准确性。除了我们先前对这种图像进行校正的尝试之外,本文还提出了一种更简单的连接分量分析和回归技术。与我们以前的方法相比,本系统在计算上更便宜,并且与分辨率无关。本文介绍了新系统的实现和OCR精度的提高。

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