Writer recognition on arabic handwritten documents

Authors:
Chawki Djeddi;Labiba Souici-Meslati;Abdellatif Ennaji
Affiliations:
Laboratoire LAMIS, Département de Mathématiques et d'Informatique, Université de Tébessa, Tébessa, Algérie;Laboratoire LRI, Département d'Informatique, Université Badji Mokhtar d'Annaba, Annaba, Algérie;Laboratoire LITIS, UFR des Sciences, Université de Rouen, Saint-Etienne du Rouvray, France
Venue:
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
Year:
2012

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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an active research area over the last few years and is at the heart of many applications in biometrics, forensics and historical document analysis.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.