KHATT: Handwritten Arabic Text

Item Name: KHATT: Handwritten Arabic Text
Author(s): Sabri Mahmoud, Irfan Ahmad, Wasfi Al-Khatib, Mohammad Alshayeb, Mohammad Parvez, Volker Märgner, Gernot Fink
LDC Catalog No.: LDC2015T23
ISBN: 1-58563-736-X
ISLRN: 866-063-772-506-2
Release Date: November 16, 2015
Member Year(s): 2015
DCMI Type(s): StillImage, Text
Data Source(s): essays
Application(s): handwriting recognition
Language(s): Arabic
Language ID(s): ara
License(s): LDC User Agreement for Non-Members
Online Documentation: LDC2015T23 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Mahmoud, Sabri, et al. KHATT: Handwritten Arabic Text LDC2015T23. Hard Drive. Philadelphia: Linguistic Data Consortium, 2015.

Introduction

KHATT: Handwritten Arabic Text was developed by King Fahd University of Petroleum & Minerals, Technical University of Dortmund and Braunschweig University of Technology. It is comprised of scanned Arabic handwriting from 1,000 distinct male and female writers representing diverse countries, age groups, handedness and education levels. Participants produced text on a topic of their choice in an unrestricted style. KHATT was designed to promote research in areas such as text recognition and writer identification.

Data

The majority of participants were natives of Saudi Arabia; the next largest group was from a collection of regional countries (Egypt, Jordan, Kuwait, Morocco, Palestine, Tunisia and Yemen). Most writers were between 16-25 years of age with high school or university qualifications.

Scanned text is presented as tiff images scanned at 200, 300 and 600 DPI (dots per inch). The source images are four-page tiffs consisting of metadata about the writer, fixed paragraphs and free writing. Image files of isolated paragraphs or lines are also included. Ground-truth files are presented as plain-text Unicode. Data is divided into training, validation and test sets.

Samples

Please view this image sample and this text sample.

Updates

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