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Unconstrained Arabic handwritten word feature extraction: A comparative study

AlKhateeb, JH, Ren, J, Jiang, J and Ipson, SS (2009) Unconstrained Arabic handwritten word feature extraction: A comparative study In: ITNG 2009, 2009-04-27 - 2009-04-29, Las Vegas, USA.

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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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
AlKhateeb, JHUNSPECIFIEDUNSPECIFIED
Ren, JUNSPECIFIEDUNSPECIFIED
Jiang, Jjianmin.jiang@surrey.ac.ukUNSPECIFIED
Ipson, SSUNSPECIFIEDUNSPECIFIED
Date : 2009
Identification Number : https://doi.org/10.1109/ITNG.2009.222
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:25
Last Modified : 17 May 2017 15:03
URI: http://epubs.surrey.ac.uk/id/eprint/835258

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