Combination of HMM-Based Classifiers for the Recognition of Arabic Handwritten Words

  title={Combination of HMM-Based Classifiers for the Recognition of Arabic Handwritten Words},
  author={Ramy Al-Hajj Mohamad and Chafic Mokbel and Laurence Likforman-Sulem},
  journal={Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)},
In this paper we present a two-stage system for the off-line recognition of cursive Arabic handwritten words. The proposed method is analytic without segmentation, and is able to cope with handwriting inclination and with shifted positions of diacritical marks. First, the recognition stage relies on 3 classifiers based on hidden Markov modelling (HMM). The second stage depends on the combination of these classifiers. The feature vectors used for recognition are related to pixel density… CONTINUE READING
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