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Proceedings Paper

Research for binarization of uneven illumination text image
Author(s): Shouliang Liu; Yiming Li; Yupeng Gao; Kai Yang
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Paper Abstract

For the binarization of text image captured under uneven illumination,the article propose a new methods which combines gray value statistics with global threshold to remove uneven illumination effects.The method uses the gray value statistics method to extract the background image, so that the original subtract the background. Finally to get binary image by using improved simple statistical global threshold method. The experimental results show that this method not only retains the advantages of global threshold such as simpleness and efficient, but also has the advantages of the local threshold which retains the details of the character strokes well and avoids the disconnection and shade.Thereby the method improves the recognition efficiency of the binary text.

Paper Details

Date Published: 14 March 2013
PDF: 5 pages
Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87686O (14 March 2013); doi: 10.1117/12.2006315
Show Author Affiliations
Shouliang Liu, Wenzhou Univ. (China)
Yiming Li, Wenzhou Univ. (China)
Yupeng Gao, Wenzhou Univ. (China)
Kai Yang, Wenzhou Univ. (China)

Published in SPIE Proceedings Vol. 8768:
International Conference on Graphic and Image Processing (ICGIP 2012)
Zeng Zhu, Editor(s)

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