出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：This paper introduces a method for binarization of historical document images that suffer from
non-uniform background, faint text, low contrast, stain, bleed-through, or shadow challenges.
The proposed method adaptively detects the non-uniform background in the document image
and eliminates it. Areas that contain missing text are adaptively identified and reprocessed
separately. Stain and bleed-through objects are found depending on stroke width and locally
binarized. Shadow is detected based on the image contrast. Otsu multilevel is applied for
binarization. DIBCO series is used for testing.
