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 pix...

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Bibliographic Details
Main Authors: Chih-Hong Kao, Hon-Son Don
Format: Conference Proceeding
Language:English
Subjects:
Character recognition
Data mining
Histograms
Image analysis
Image enhancement
Image segmentation
Performance analysis
Pixel
Size measurement
Text analysis
Online Access:Request full text
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Description
Summary: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.
DOI:10.1109/ICITA.2005.255