Skew and slant correction for document images using gradient direction

Changming Sun, Deyi Si
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引用次数: 93

Abstract

A fast algorithm is presented for skew and slant correction in printed document images. The algorithm employs only the gradient information. The skew angle is obtained by searching for a peak in the histogram of the gradient orientation of the input grey-level image. The skewness of the document is corrected by a rotation at such an angle. The slant of characters can also be detected using the same technique, and can be corrected by a shear operation. A second method for character slant correction by fitting parallelograms to the connected components is also described. Document images with different contents (tables, figures, and photos) have been tested for skew correction and the algorithm gives accurate results on all the test images, and the algorithm is very easy to implement.
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使用梯度方向对文档图像进行倾斜和倾斜校正
提出了一种快速的打印文档图像倾斜和倾斜校正算法。该算法仅使用梯度信息。斜角度是通过在输入灰度图像的梯度方向直方图中搜索一个峰值得到的。以这样的角度旋转可以纠正文件的偏度。字符的倾斜也可以使用相同的技术来检测,并且可以通过剪切操作来纠正。还描述了通过将平行四边形拟合到连接的分量来进行字符倾斜校正的第二种方法。对不同内容的文档图像(表格、图形和照片)进行了倾斜校正测试,该算法对所有测试图像都给出了准确的结果,并且该算法非常容易实现。
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