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Unconstrained Arabic handwritten word feature extraction: A comparative study
Conference presentation

Unconstrained Arabic handwritten word feature extraction: A comparative study

JH AlKhateeb, J Ren, J Jiang and SS Ipson
6th International Conference on Information Technology: New Generations, pp.1655-1656
ITNG 2009 (Las Vegas, USA, 27/04/2009 - 29/04/2009)
2009

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.

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