1998 | ReviewPaper | Buchkapitel
Information extraction from a skewed form document in the presence of crossing characters
verfasst von : Jin-Yong Yoo, Min-Ki Kim, Sang Yong Han, Young-Bin Kwon
Erschienen in: Graphics Recognition Algorithms and Systems
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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In this paper, we propose an information extraction method which can restore the handwritten character information from prescribed and skewed form documents. The proposed method include the following aspects: boundary and successive internal line dectection, accurate skew angle measurement, line removal and broken character restoration using morphological analysis model of crossing shape. Using the proposed method, more than 95% of the horizontal and vertical crossing lines are correctly restored.