Abstract
The binarization of document image plays an important role in many applications such as character recognition, computerization of the book which became old. However, it is difficult in degraded document image to distinguish the background and the character.
In this paper, we propose the method that can do binarization well in such degraded document image.
First, we use a median filter to get a rough background image. The image from which the background was removed is obtained by taking the difference of the background image and source image. Furthermore, the feature in the character part is enlarged by linear converting the difference image in the local, and clear sentence image to remove the deterioration part by making the image two values is obtained.
Finally, we show experimental results of the proposal method and the four existing methods, and show the effectiveness.
