HMM Based Approach for Handwritten Arabic Word Recognition Using the IFN/ENIT- Database

@inproceedings{Pechwitz2003HMMBA,
  title={HMM Based Approach for Handwritten Arabic Word Recognition Using the IFN/ENIT- Database},
  author={Mario Pechwitz and Volker M{\"a}rgner},
  booktitle={ICDAR},
  year={2003}
}
An offline recognition system for Arabic handwritten words is presented. The recognition system is based on a semi-continuous 1-dimensional HMM. From each binary word image normalization parameters were estimated. First height, length, and baseline skew are normalized, then features are collected using a sliding window approach. This paper presents these methods in more detail. Some parameters were modified and the consequent effect on the recognition results are discussed. Significant tests… CONTINUE READING
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