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.
Citation:
Sameh Masmoudi Touj, Najoua Essoukri Ben Amara, Hamid Amiri, "A hybrid approach for off-line Arabic handwriting recognition based on a Planar Hidden Markov modeling," icdar, vol. 2, pp.964-968, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, 2007