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Third International Conference on Information Technology and Applications (ICITA'05) Volume 1
Skew Detection of Document Images Using Line Structural Information
Sydney, Australia
July 04-July 07
ISBN: 0-7695-2316-1
Chih-Hong Kao, National Chung-Hsing University
Hon-Son Don, National Chung-Hsing University
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.
Citation:
Chih-Hong Kao, Hon-Son Don, "Skew Detection of Document Images Using Line Structural Information," icita, vol. 1, pp.704-715, Third International Conference on Information Technology and Applications (ICITA'05) Volume 1, 2005
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