Datasets:
File size: 1,369 Bytes
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---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
task_categories:
- image-to-text
language:
- ar
tags:
- OCR
- 'Optical Character Recognition '
- Arabic OCR
- 'arabic '
- ocr
- Textline images
size_categories:
- 1K<n<10K
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Training
'1': Validation
splits:
- name: train
num_bytes: 19188705.2
num_examples: 1400
- name: validation
num_bytes: 3038515.0
num_examples: 233
download_size: 14348228
dataset_size: 22227220.2
---
# 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.
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