Two thresholding for deriving the bi-level document image

Authors:
Yu-Kumg Chen;Yi-Fan Chang
Affiliations:
Department of Electronic Engineering, Huafan University, Taipei, Taiwan;Department of Electronic Engineering, Huafan University, Taipei, Taiwan
Venue:
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Year:
2006

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Abstract

Optical character recognition occupies a very important field in digital image processing. It is used extensively in daily life. If the given image does not have a bimodal intensity histogram, it will cause segmenting mistake easily for the previous algorithms of image binarization. In order to solve this problem, a new algorithm is proposed in this paper. The proposed algorithm uses the theory of moving average on the histogram of the fuzzy image, and then derives the better histogram. Since use only one thresholding value cannot solve this problem completely, the edge information and the window processing are introduced in this paper for advanced thresholding. Thus, a more refine bi-level image is derived and it will result in the improvement of optical character recognition. Experiments are carried out for some samples with shading to demonstrate the computational advantage of the proposed method.