task_categories:image-to-text size_categories:1K<n<10K language:ar OCR Optical Character Recognition  Arabic OCR arabic  ocr Textline images region:us
KHATT (KFUPM Handwritten Arabic TexT) database is a database of unconstrained handwritten Arabic Text written by 1000 different writers. This research database’s development was undertaken by a research group from KFUPM, Dhahran, S audi Arabia headed by Professor Sabri Mahmoud in collaboration with Professor Fink from TU-Dortmund, Germany and Dr. Märgner from TU-Braunschweig, Germany.
@article{Pattern Recognition,
    Author = {bri A. Mahmoud, Irfan Ahmad, Wasfi G. Al-Khatib, Mohammad Alshayeb, Mohammad Tanvir Parvez, Volker Märgner, Gernot A. Fink},
    Title = { {KHATT: An Open Arabic Offline Handwritten Text Database} },
    Year = {2013},
    doi = {10.1016/j.patcog.2013.08.009},
}
---
task_categories:
- image-to-text
language:
- ar
tags:
- OCR
- 'Optical Character Recognition '
- Arabic OCR
- 'arabic '
- ocr
- Textline images
size_categories:
- 1K<n<10K
---

# KFUPM Handwritten Arabic TexT (KHATT) database 
### Version 1.0 (September 2012 Release)

The database contains handwritten Arabic text images and its ground-truth developed for 
research in the area of Arabic handwritten text. It contains the line images and their ground-truth. It was used for the pilot experimentation as reported in the paper: <ins> S. A. Mahmoud, I. Ahmad, M. Alshayeb, W. G. Al-Khatib, M. T. Parvez, G. A. Fink, V. Margner, and H. EL Abed, “KHATT: Arabic Offline 
Handwritten Text Database </ins>, In Proceedings of the 13th International Conference on Frontiers in Handwriting Recognition (ICFHR 2012), Bari, Italy, 2012, pp. 447-452, IEEE Computer Society.
