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An Adaptive Binarization Algorithm for Degraded Document Images
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 Title & Authors
An Adaptive Binarization Algorithm for Degraded Document Images
Ju, Jae-Hyon; Oh, Jeong-Su;
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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.
adaptive binarization;document image;characters;degraded image;
 Cited by
모바일 로봇 기반의 도서 관리 시스템 개발,김아람;이세한;이상용;

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