Unconstrained Arabic Handwritten Word Feature Extraction: A Comparative Study

AlKhateeb, J. H. and Ren, Jinchang and Jiang, J. and Ipson, S.; (2009) Unconstrained Arabic Handwritten Word Feature Extraction: A Comparative Study. In: Proceedings of the 2009 Sixth International Conference on Information Technology: New Generations. IEEE, USA, pp. 1655-1656. ISBN 978-1-4244-3770-2 (http://dx.doi.org/10.1109/ITNG.2009.222)

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Abstract

This paper presents an overview of feature extraction techniques for unconstrained Arabic handwritten word recognition. Choosing a technique for extraction the features considers the most important factor in achieving high recognition rates in word or character recognition. Different techniques were designed to extract the features from the Arabic words. These techniques are presented and discussed in terms of invariant invariance properties.

ORCID iDs

AlKhateeb, J. H., Ren, Jinchang ORCID logoORCID: https://orcid.org/0000-0001-6116-3194, Jiang, J. and Ipson, S.;
CORE (COnnecting REpositories)