This paper proposes a novel document image

binarization approach based on stroke neighborhood

enhancement. First, foreground pixels are initially

labeled. Then, the strokes are enhanced based on their

neighborhood information which include gradient

information and foreground-background pixel distances

of foreground pixels and their neighboring background

pixels. At last, the enhanced image is finally

binarized. This approach can provide good result for

those document images suffering from lighting variance,

low resolution and blurring.