Combining Fuzzy Clustering and Morphological Methods for Old Documents Recovery

  • João R. Caldas Pinto
  • Lourenço Bandeira
  • João M. C. Sousa
  • Pedro Pina
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3523)


In this paper we tackle the specific problem of old documents recovery. Spots, print through, underlines and others ageing features are undesirable not only because they harm the visual appearance of the document, but also because they affect future Optical Character Recognition (OCR). This paper proposes a new method integrating fuzzy clustering of color properties of original images and mathematical morphology. We will show that this technique leads to higher quality of the recovered images and, at the same time, it delivers cleaned binary text for OCR applications. The proposed method was applied to books of XIX Century, which were cleaned in a very effective way.


Fuzzy Cluster Optical Character Recognition Mathematical Morphology Fuzzy Partition Recovered Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • João R. Caldas Pinto
    • 1
  • Lourenço Bandeira
    • 1
  • João M. C. Sousa
    • 1
  • Pedro Pina
    • 2
  1. 1.IDMECInstituto Superior TécnicoLisboaPortugal
  2. 2.CVRM / Geo-Systems CentreInstituto Superior TécnicoLisboaPortugal

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