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Restoration of Old Documents with Genetic Algorithms

  • Daniel Rivero
  • Rafael Vidal
  • Julián Dorado
  • Juan R. Rabuñal
  • Alejandro Pazos
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2611)

Abstract

Image recognition is a problem present in many real-world applications. In this paper we present an application of genetic algorithms (GAs) to solve one of those problems: the recovery of a deteriorated old document from the damages caused by centuries. This problem is particularly hard because these documents are affected by many aggresive agents, mainly by the humidity caused by a wrong storage during many years. This makes this problem unaffordable by other image processing techniques, but results show how GAs can succesfully solve this problem.

Keywords

Genetic Algorithm Original Image Window Size Genetic Programming Image Processing Technique 
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 2003

Authors and Affiliations

  • Daniel Rivero
    • 1
  • Rafael Vidal
    • 1
  • Julián Dorado
    • 1
  • Juan R. Rabuñal
    • 1
  • Alejandro Pazos
    • 1
  1. 1.Univ. A Coruña, Fac. InformaticaA CoruñaSpain

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