Segmentation techniques for online Arabic handwriting Recognition: A survey

@article{Abuzaraida2010SegmentationTF,
  title={Segmentation techniques for online Arabic handwriting Recognition: A survey},
  author={Mustafa Ali Abuzaraida and Ahmed Zeki and Akram M. Zeki},
  journal={Proceeding of the 3rd International Conference on Information and Communication Technology for the Moslem World (ICT4M) 2010},
  year={2010},
  pages={D37-D40}
}
This paper presents and compares techniques that have been used to segment Arabic handwriting scripts in online recognition systems. Those techniques attempt to segment cursive Arabic words into characters, or segment characters into small strokes that can be recognized via the recognition system. The structure and strategy of those reviewed techniques are explained in this article. The strengths and weaknesses of using these techniques will also be discussed. 

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