Independent component analysis for document restoration

  title={Independent component analysis for document restoration},
  author={Anna Tonazzini and Luigi Bedini and Emanuele Salerno},
  journal={Document Analysis and Recognition},
We propose a novel approach to restoring digital document images, with the aim of improving text legibility and OCR performance. These are often compromised by the presence of artifacts in the background, derived from many kinds of degradations, such as spots, underwritings, and show-through or bleed-through effects. So far, background removal techniques have been based on local, adaptive filters and morphological-structural operators to cope with frequent low-contrast situations. For the… CONTINUE READING
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Text recovery from the Archimedes Palimpsest

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Blind separation of autocorrelated images from noisy mixtures using MRF models

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The FastICA package for MATLAB. A. Tonazzini et al.: Independent component analysis for document restoration

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