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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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 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;
 Language
Korean
 Cited by
1.
모바일 로봇 기반의 도서 관리 시스템 개발,김아람;이세한;이상용;

한국지능시스템학회논문지, 2016. vol.26. 1, pp.9-15 crossref(new window)
1.
Development of Library Management System based on a Mobile Robot, Journal of Korean Institute of Intelligent Systems, 2016, 26, 1, 9  crossref(new windwow)
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