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Writer Recognition on Arabic Handwritten Documents

  • Chawki Djeddi
  • Labiba Souici-Meslati
  • Abdellatif Ennaji
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7340)

Abstract

Recognizing the writer of a handwritten document has been an active research area over the last few years and is at the heart of many applications in biometrics, forensics and historical document analysis. In this paper, we present a novel approach for text-independent writer recognition from Arabic handwritten documents. To characterize the handwriting styles of different writers involved in the evaluation of our approach, we have used two texture methods based on edge hinge features and run-lengths features. The efficiency of the proposed approach is demonstrated experimentally by the classification of 1375 handwritten documents collected from 275 different Arabic writers.

Keywords

writer identification writer verification run-lengths edge hinge Arabic handwriting 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Chawki Djeddi
    • 1
  • Labiba Souici-Meslati
    • 2
  • Abdellatif Ennaji
    • 3
  1. 1.Laboratoire LAMIS, Département de Mathématiques et d’InformatiqueUniversité de TébessaTébessaAlgérie
  2. 2.Laboratoire LRI, Département d’InformatiqueUniversité Badji Mokhtar d’AnnabaAnnabaAlgérie
  3. 3.Laboratoire LITIS, UFR des SciencesUniversité de RouenSaint-Etienne du RouvrayFrance

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