Efficient Word Retrieval by Means of SOM Clustering and PCA

  • Simone Marinai
  • Stefano Faini
  • Emanuele Marino
  • Giovanni Soda
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3872)

Abstract

We propose an approach for efficient word retrieval from printed documents belonging to Digital Libraries. The approach combines word image clustering (based on Self Organizing Maps, SOM) with Principal Component Analysis. The combination of these methods allows us to efficiently retrieve the matching words from large documents collections without the need for a direct comparison of the query word with each indexed word.

Keywords

Principal Component Analysis Digital Library Word Image Word Representation Query Word 
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 2006

Authors and Affiliations

  • Simone Marinai
    • 1
  • Stefano Faini
    • 1
  • Emanuele Marino
    • 1
  • Giovanni Soda
    • 1
  1. 1.Dipartimento di Sistemi e InformaticaUniversità di FirenzeFirenzeItaly

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