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Unconstrained Arabic Handwritten Word Feature Extraction: A Comparative Study
Conference proceeding

Unconstrained Arabic Handwritten Word Feature Extraction: A Comparative Study

Jawad H. AlKhateeb, Jinchang Ren, Jianmin Jiang, Stan S. Ipson and IEEE Computer Society
PROCEEDINGS OF THE 2009 SIXTH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY: NEW GENERATIONS, VOLS 1-3, pp.1655-1656
01/01/2009

Abstract

Computer Science Computer Science, Artificial Intelligence Computer Science, Information Systems Computer Science, Software Engineering Computer Science, Theory & Methods Science & Technology Technology
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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