A fuzzy binarization method for complicated background document images

Yuyan Chao; Lifeng He; Kazuhito Murakami; Wei Tang; Zhenghao Shi; Tsuyoshi Nakamura; Qian Yu; Yong Hao

doi:10.1117/12.866932

20 August 2010 A fuzzy binarization method for complicated background document images

Yuyan Chao, Lifeng He, Kazuhito Murakami, Wei Tang, Zhenghao Shi, Tsuyoshi Nakamura, Qian Yu, Yong Hao

Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 782028 (2010) https://doi.org/10.1117/12.866932
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

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.

Citation Download Citation

Yuyan Chao, Lifeng He, Kazuhito Murakami, Wei Tang, Zhenghao Shi, Tsuyoshi Nakamura, Qian Yu, and Yong Hao "A fuzzy binarization method for complicated background document images", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 782028 (20 August 2010); https://doi.org/10.1117/12.866932

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