Real-Time Segmentation of On-Line Handwritten Arabic Script

Real-time performance is necessary in applications involving on-line handwriting recognition. However, conventional approaches usually wait until the entire curve is traced out before starting the analysis, inevitably causing delays in the recognition process. In regards to the Arabic script, the postponed analysis may be attributed to the cursive and unconstrained nature of the Arabic writing system, in both printed and handwritten forms. Nevertheless, this paper proposes a real-time recognition-based segmentation technique of on-line Arabic script. It demonstrate the feasibility of carrying out the most time consuming tasks, required for the segmentation process, during the course of writing. The system has been designed and tested using the ADAB Database, and promising results were obtained.