Information extraction from a skewed form document in the presence of crossing characters

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.