Abstract
Online handwriting recognition of Arabic script is a difficult problem since it is naturally both cursive and unconstrained. The analysis of Arabic script is further complicated in comparison to Latin script due to obligatory dots/stokes that are placed above or below most letters. This paper introduces a Hidden Markov Model (HMM) based system to provide solutions for most of the difficulties inherent in recognizing Arabic script including: letter connectivity, position-dependent letter shaping, and delayed strokes. This is the first HMM-based solution to online Arabic handwriting recognition. We report successful results for writer-dependent and writer-independent word recognition.
| Original language | English |
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| Title of host publication | Proceedings of the 10th International Workshop on Frontiers of Handwriting and Recognition |
| DOIs | |
| State | Published - 2006 |