FHT: An Unconstraint Farsi Handwritten Text Database

@article{Ziaratban2009FHTAU,
  title={FHT: An Unconstraint Farsi Handwritten Text Database},
  author={Majid Ziaratban and Karim Faez and Fatemeh Bagheri},
  journal={2009 10th International Conference on Document Analysis and Recognition},
  year={2009},
  pages={281-285}
}
Standard databases play very important roles in pattern recognition tasks. To compare the performances of different algorithms, they must be tested on a same dataset. In Farsi, there is not a database of handwritten texts to evaluate different algorithms. In this paper, an unconstraint Farsi handwritten text database is introduced. 250 participants in different ages and education levels filled 1000 forms. Duo to the characteristics of the database, it can be used in many OCR applications. A… CONTINUE READING
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