使用线结构信息的文档图像的倾斜检测

Third International Conference on Information Technology and Applications (ICITA'05) Pub Date : 2005-07-04 DOI:10.1109/ICITA.2005.255

Chih-Hong Kao, H. Don

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引用次数: 5

摘要

提出了一种文档图像的倾斜检测方法。该方法基于图像中文本行方向的信息。为了提取图像中文本线条的方向，采用了文本线条相似度的度量，它反映了作为文本线条一部分的像素的强度和方向。此方法适用于各种字体、大小甚至语言的文本。整个图像的倾斜角度是图像中所有像素之间的共识。提出了几种达成共识的方法。给出了该方法在文档图像上的实验结果。

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Skew detection of document images using line structural information

A method for skew detection of document images is presented. The method is based on the information of the directions of text lines in the images. To extract the directions of text lines in the images, a measure of line-likeness of texts is adopted, which reflects the strength and direction of a pixel being part of a text line. This measure is applicable to texts of various fonts, sizes, and even languages. The skew angle of the whole image is the consensus among all pixels in the image. Several methods for the consensus are proposed. Experimental results of the method on document images are presented.

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Third International Conference on Information Technology and Applications (ICITA'05)

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