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AL-Rafidain Journal of Computer Sciences and Mathematics

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Arabic Word Recognition Using Wavelet Neural Network

    Yousra F. Al-Irhaim Enaam Ghanim Saeed

AL-Rafidain Journal of Computer Sciences and Mathematics, 2010, Volume 7, Issue 3, Pages 81-90
10.33899/csmj.2010.163913

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Abstract

In this paper, a system is presented for word recognition using  Arabic word signals. The aim of the paper is to improve the recognition rate by finding out good feature  parameters  based on discrete wavelet transform. We have used Daubechies  wavelet  for the experiment.  The back propagation neural network is used for classification. Test results showing the effectiveness of the proposed system are presented in this paper, A recognition accuracy of 77%.
 
Keywords:
    Signal classification word
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(2010). Arabic Word Recognition Using Wavelet Neural Network. AL-Rafidain Journal of Computer Sciences and Mathematics, 7(3), 81-90. doi: 10.33899/csmj.2010.163913
Yousra F. Al-Irhaim; Enaam Ghanim Saeed. "Arabic Word Recognition Using Wavelet Neural Network". AL-Rafidain Journal of Computer Sciences and Mathematics, 7, 3, 2010, 81-90. doi: 10.33899/csmj.2010.163913
(2010). 'Arabic Word Recognition Using Wavelet Neural Network', AL-Rafidain Journal of Computer Sciences and Mathematics, 7(3), pp. 81-90. doi: 10.33899/csmj.2010.163913
Arabic Word Recognition Using Wavelet Neural Network. AL-Rafidain Journal of Computer Sciences and Mathematics, 2010; 7(3): 81-90. doi: 10.33899/csmj.2010.163913
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