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http://dx.doi.org/10.7840/KICS.2012.37.7A.581

An Adaptive Binarization Algorithm for Degraded Document Images  

Ju, Jae-Hyon (부경대학교 이미지시스템공학과)
Oh, Jeong-Su (부경대학교 이미지시스템공학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.37, no.7A, 2012 , pp. 581-585 More about this Journal
Abstract
This paper proposes an adaptive binarization algorithm which is highly effective for a degraded document image including printed Hangul and Chinese characters. Because of the attribute of character composed of thin horizontal strokes and thick vertical strokes, the conventional algorithms can't easily extract horizontal strokes which have weaker components than vertical ones in the degraded document image. The proposed algorithm solves the conventional algorithm's problem by adding a vertical-directional reference adaptive binarization algorithm to an omni-directional reference one. The simulation results show the proposed algorithm extracts well characters from various degraded document images.
Keywords
adaptive binarization; document image; characters; degraded image;
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