HACDB: Handwritten Arabic characters database for automatic character recognition

Lawgali, Ahmed, Angelova, Maia and Bouridane, Ahmed (2013) HACDB: Handwritten Arabic characters database for automatic character recognition. In: 2013 4th European Workshop on Visual Information Processing (EUVIP 2013): Paris, France, 10-12 June 2013. IEEE, Piscataway, NJ, pp. 255-259. ISBN 9788293269137

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Official URL: https://ieeexplore.ieee.org/document/6623974


Automatic off-line Arabic handwriting recognition based on segmentation still faces big challenges. A database, covering all shapes of handwritten Arabic characters, is required to facilitate the recognition process. This paper introduces a new database for handwritten Arabic characters (HACDB), designed to cover all shapes of Arabic characters including overlapping ones. It contains 6,600 shapes of characters written by 50 writers. This database can be used for training and testing the words for their recognition after segmentation. Also, it presents the possibility for comparing different approaches and evaluate their accuracy on a common base.

Item Type: Book Section
Uncontrolled Keywords: Arabic, character, database, recognition
Subjects: G400 Computer Science
G500 Information Systems
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Related URLs:
Depositing User: Becky Skoyles
Date Deposited: 15 Jan 2015 14:28
Last Modified: 10 Oct 2019 23:17
URI: http://nrl.northumbria.ac.uk/id/eprint/20913

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