Segmentation-free word recognition with application to Arabic

@inproceedings{AlBadr1995SegmentationfreeWR,
  title={Segmentation-free word recognition with application to Arabic},
  author={Badr Al-Badr and Robert M. Haralick},
  booktitle={ICDAR},
  year={1995}
}
This paper describes the design and implementation of a system that recognizes machine-printed Arabic words without prior segmentation. The technique is based on describing symbols in terms of shape primitives. At recognition time, the primitives are detected on a word image using mathematical m.orphology operations. The system then matches the detected primitives with symbol models. This leads to a spatial arrangement of m.atched symbol models. The system conducts a search in the space of… CONTINUE READING
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Badr Albadr. A Segmentation-Free Approach to Text Recognition with Application to Arabic Tezt

  • Adnan Amin, H. B. Al-Sadoun
  • PhD thesis,
  • 1995

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