A novel approach to text binarization via a diffusion-based model

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21 Citations (Scopus)

Abstract

This paper presents a new approach to document image binarization. The method is based on the dynamic process of diffusion, coupled with a nonlinear Fitzhugh-Nagumo type source term that exhibits binarizing properties. These desirable properties lead to a method that is robust to noise and is able to successfully binarize an input document image. We measure the efficacy of our proposed method against industry standards by two methods, a pixel by pixel comparison with the ground truth image and a standard optical character recognition test. Through these measures we illustrate a progressive method that performs at the highest level in the field.

Original languageEnglish
Pages (from-to)446-460
Number of pages15
JournalApplied Mathematics and Computation
Volume225
DOIs
Publication statusPublished - 2013
Externally publishedYes

Keywords

  • Binarization
  • Diffusion
  • Document Image
  • Fitzhugh-Nagumo
  • Image Denoising

ASJC Scopus subject areas

  • Computational Mathematics
  • Applied Mathematics

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