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inria-00108345, version 1

Evaluation of Handwriting Similarities Using Hermite Transform

Stéphane Bres () 1, Véronique Eglin () 1, Catherine Volpilhac-Auger () 2

Tenth International Workshop on Frontiers in Handwriting Recognition (2006)

Abstract: In this paper, we present a new method for handwriting documents denoising and indexing. This work is based on the Hermite Transform, which is a polynomial transform and a good model of the human visual system (HVS). We use this transformation to analyze handwritings using their visual aspect of texture. We apply this analysis to document indexing (finding documents coming from the same author) or document classification (grouping document containing handwritings that have similar visual aspect). It is often necessary to clean these documents before the analyze step. For that purpose, we use also the Hermite decomposition. The current results are very promising and show that it is possible to characterize handwritten drawings without any a priori graphemes segmentation.

  • 1:  Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS)
  • CNRS : UMR5205 – Institut National des Sciences Appliquées [INSA] : - LYON – Université Claude Bernard - Lyon I – Université Lumière - Lyon II – Ecole Centrale de Lyon
  • 2:  Institut d'Histoire de la Pensée Classique (IHPC)
  • CNRS : UMR5037 – Université Blaise Pascal - Clermont-Ferrand II – Université Lumière - Lyon II – Université Jean Monnet - Saint-Etienne – École Normale Supérieure (ENS) - Lyon
  • Domain : Computer Science/Computer Vision and Pattern Recognition
    Computer Science/Document and Text Processing
  • Keywords : Document restoration – handwriting analysis – handwriting indexing
  • Comment : http://www.suvisoft.com
 
  • inria-00108345, version 1
  • oai:hal.inria.fr:inria-00108345
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  • Submitted on: Friday, 20 October 2006 15:02:19
  • Updated on: Thursday, 13 December 2007 10:42:25