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: EUVIP 2013 - 4th European Workshop on Visual Information Processing, 10th - 12th June 2013, Paris, France.

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Abstract

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: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Arabic; character; database; recognition
Subjects: G400 Computer Science
G500 Information Systems
Department: Faculties > Engineering and Environment > Computer Science and Digital Technologies
Related URLs:
Depositing User: Becky Skoyles
Date Deposited: 15 Jan 2015 14:28
Last Modified: 10 Aug 2015 11:08
URI: http://nrl.northumbria.ac.uk/id/eprint/20913

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