Abstract
This paper presents a thresholding algorithm using an alternate forward-reverse flow-based partial differential equation (PDE)-based formulation. Additionally, revised models are augmented with fuzzy intensification and fuzzy rule-based structure tensor edge terms for handling degraded document images. Furthermore, an effective technique for enhancement of document images with extreme bleed-through is proposed to further improve binarization results. Comparisons with state-of-the-art PDE thresholding/binarization approaches show superior results of proposed methods based on visual and objective analysis.
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