Segmentation and pre-recognition of Arabic handwriting

  title={Segmentation and pre-recognition of Arabic handwriting},
  author={Liana M. Lorigo and Venu Govindaraju},
  journal={Eighth International Conference on Document Analysis and Recognition (ICDAR'05)},
  pages={605-609 Vol. 2}
We propose a novel algorithm for the segmentation and prerecognition of offline handwritten Arabic text. Our character segmentation method over-segments each word, and then removes extra breakpoints using knowledge of letter shapes. On a test set of 200 images, 92.3% of the segmentation points were detected correctly, with 5.1% instances of over-segmentation. The prerecognition component annotates each detected letter with shape information, to be used for recognition in future work. 
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