Analysis of PDE-based binarization model for degraded document images
Uche A. Nnolim

TL;DR
This paper evaluates a PDE-based binarization model for degraded document images, demonstrating its effectiveness in handling bleed-through, faded text, and stains, thereby improving document image processing.
Contribution
It introduces a PDE-based binarization approach utilizing edge and binary source terms tailored for degraded documents, showing improved performance over existing methods.
Findings
Effective in binarizing images with bleed-through and faded text
Less effective for images with stains
Demonstrates potential for improved document image processing
Abstract
This report presents the results of a PDE-based binarization model for degraded document images. The model utilizes an edge and binary source term in its formulation. Results indicate effectiveness for document images with bleed-through and faded text and stains to a lesser extent.
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Taxonomy
TopicsHandwritten Text Recognition Techniques · Vehicle License Plate Recognition · Image Processing and 3D Reconstruction
