HACDB: Handwritten Arabic characters database for automatic character recognition

Ahmed Lawgali, Maia Angelova, Ahmed Bouridane

Research output: Contribution to conferencePaperpeer-review

32 Citations (Scopus)

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.
Original languageEnglish
Publication statusPublished - Sep 2013
EventEUVIP 2013 - 4th European Workshop on Visual Information Processing - Paris, France
Duration: 1 Sep 2013 → …
http://www-l2ti.univ-paris13.fr/~euvip2013/

Conference

ConferenceEUVIP 2013 - 4th European Workshop on Visual Information Processing
Period1/09/13 → …
Internet address

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