Solving the Binarization Challenges in Document Images Using OTSU Multilevel
Enas M. Elgbbas, Mahmoud I. Khalil, Hazem M. Abbas · 2019
This paper introduces a method for binarization of historical document images that suffer from non-uniform background, faint text, low contrast, stain, bleed-through, or shadow challenges.The proposed method adaptively detects the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.