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Proceedings Paper

A fuzzy binarization method for complicated background document images
Author(s): Yuyan Chao; Lifeng He; Kazuhito Murakami; Wei Tang; Zhenghao Shi; Tsuyoshi Nakamura; Qian Yu; Yong Hao
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Paper Abstract

This paper presents a fuzzy binarization method for document images with complicated backgrounds. Our binarization method consists of a preprocessing procedure, a character-line detector, and three binarization processings. The first binarization processing is used to obtain a basic binary image, the second is made by considering edge information, and the third does by considering background information. Experimental results demonstrate that our fuzzy binarization method is efficient for separation of foreground (text) areas and background areas in images with stain areas or complicated backgrounds.

Paper Details

Date Published: 20 August 2010
PDF: 8 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 782028 (20 August 2010); doi: 10.1117/12.866932
Show Author Affiliations
Yuyan Chao, Shaanxi Univ. of Science and Technology (China)
Nagoya Sangyo Univ. (Japan)
Lifeng He, Aichi Prefectural Univ. (Japan)
Kazuhito Murakami, Aichi Prefectural Univ. (Japan)
Wei Tang, Shaanxi Univ. of Science and Technology (China)
Zhenghao Shi, Xi'an Univ. of Science and Technology (China)
Tsuyoshi Nakamura, Nagoya Institute of Technology (Japan)
Qian Yu, Nagoya Institute of Technology (Japan)
Yong Hao, Nagoya Institute of Technology (Japan)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

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