On the Modification of Binarization Algorithms to Retain Grayscale Information for Handwritten Text Recognition

  • Mauricio Villegas
  • Verónica Romero
  • Joan Andreu Sánchez
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9117)


The amount of digitized legacy documents has been rising over the last years due mainly to the increasing number of on-line digital libraries publishing this kind of documents. The vast majority of them remain waiting to be transcribed to provide historians and other researchers new ways of indexing, consulting and querying them. However, the performance accuracy of state-of-the-art Handwritten Text Recognition techniques decreases dramatically when they are applied to these historical documents. This is mainly due to the typical paper degradation problems. Therefore, robust pre-processing techniques is an important step for helping further recognition steps. This paper proposes to take existing binarization techniques, in order to retain their advantages, and modify them in such a way that some of the original grayscale information is preserved and be considered by the subsequent recognizer. Results are reported with the publicly available ESPOSALLES database.



The research leading to these results has received funding from the European Union’s Seventh Framework Programme (FP7/2007-2013) under grant agreement No. 600707 - tranScriptorium and the Spanish MEC under the STraDA project (TIN2012-37475-C02-01).


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Mauricio Villegas
    • 1
  • Verónica Romero
    • 1
  • Joan Andreu Sánchez
    • 1
  1. 1.PRHLTUniversitat Politècnica de ValènciaValènciaSpain

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