A fuzzy binarization method for complicated background document images
Yuyan Chao, Taiki Kan, Lifeng He, Kazuhito Murakami, Wei Dong Tang, Zhenghao Shi, Tsuyoshi Nakamura, Qian Yu, Yong Hao · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010
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.