Datasets:
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README.md
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- The database divided into three disjoint sets viz. training (70%), validation (15%), and testing (15%).
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- Promote research in areas like writer identification, line segmentation, and binarization and noise removal techniques beside handwritten text recognition.
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### Languages
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All the documents in the dataset are written in Arabic.
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- The database divided into three disjoint sets viz. training (70%), validation (15%), and testing (15%).
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- Promote research in areas like writer identification, line segmentation, and binarization and noise removal techniques beside handwritten text recognition.
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For futher information about the database go through:
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Sabri A. Mahmoud, Irfan Ahmad, Wasfi G. Al-Khatib, Mohammad Alshayeb, Mohammad Tanvir Parvez, Volker Märgner, Gernot A. Fink, KHATT: an open Arabic offline handwritten text database , Pattern Recognition.[http://www.sciencedirect.com/science/article/pii/S0031320313003300]
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Sabri A. Mahmoud, Irfan Ahmad, Mohammed Alshayeb, Wasfi G. Al-Khatib, Mohammad Tanvir Parvez, Gernot A. Fink, Volker Margner, Haikal El Abed, KHATT: Arabic offline handwritten text database, 13th International Conference on Frontiers in Handwriting Recognition (ICFHR), pp. 447–452, 2012. [Best Poster Award Winner] [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6424434&tag=1]
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### Languages
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All the documents in the dataset are written in Arabic.
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