A hybrid approach for off-line Arabic handwriting recognition based on a Planar Hidden Markov modeling

  • Authors:
  • Sameh Masmoudi Touj;Najoua Essoukri Ben Amara;Hamid Amiri

  • Affiliations:
  • Institut Supérieur d'Informatique, Tunis, Tunisia;Ecole Nationale d'Ingénieurs de Sousse, Tunisia;Ecole Nationale d'Ingénieurs de Tunis, Tunisia

  • Venue:
  • ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

A novel approach for the Arabic handwriting recognition is presented. The use of a Planar Hidden Markov Model (PHMM) has permitted to split the Arabic script into five homogeneous horizontal regions. Each region was described by a 1D-HMM. This modeling is based on different levels of segmentation: horizontal, natural and vertical. Both holistic and analytical approaches have been tested for the description of the median band of the Arabic writing. We show finally that a hybrid approach conducted to the improvement of the whole system performances.