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KHATT: Handwritten Arabic Text

Domain:

natural language processing

Record type:

dataset
Creator:
MahAhmad, IrfanAl-Als
Publisher:
Lin
Host:avatar

Introduction


KHATT: Handwritten Arabic Text was developed by King Fahd University of Pet…, Technical University of Dor… and Braunschweig University of…. 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


None at this time.


Portions © 2015 King Fahd University of Petroleum & Minerals, Trustees of the University of Pennsylvania

Visit

doi.orgcatalog.ldc.upenn.edu

Tasks

computer visionoptical character recognition

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