Information Extraction from a Skewed Form Document in the Presence of Crossing Characters

Jin-Yong Yoo, Min-Ki Kim, and Young-Bin Kwon

Computer Vision Lab., Dept. of Computer Science and Engineering, Chungang University, Seoul, Korea

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 the broken character restoration using the morphological analysis model of crossing shape. Using the proposed method, more than 95% correct restoration results from the horizontal and vertical crossing lines are obtained.


GREC'97 program