Al-Irhaim, Y., Saeed, E. (2010). Arabic Word Recognition Using Wavelet Neural Network. Alustath, 7(3), 81-90. doi: 10.33899/csmj.2010.163913
Yousra F. Al-Irhaim; Enaam Ghanim Saeed. "Arabic Word Recognition Using Wavelet Neural Network". Alustath, 7, 3, 2010, 81-90. doi: 10.33899/csmj.2010.163913
Al-Irhaim, Y., Saeed, E. (2010). 'Arabic Word Recognition Using Wavelet Neural Network', Alustath, 7(3), pp. 81-90. doi: 10.33899/csmj.2010.163913
Al-Irhaim, Y., Saeed, E. Arabic Word Recognition Using Wavelet Neural Network. Alustath, 2010; 7(3): 81-90. doi: 10.33899/csmj.2010.163913

Arabic Word Recognition Using Wavelet Neural Network

AL-Rafidain Journal of Computer Sciences and Mathematics
Article 7, Volume 7, Issue 3, December 2010, Pages 81-90    PDF (366.06 K)
Document Type: Research Paper
DOI: 10.33899/csmj.2010.163913
Authors
Yousra F. Al-Irhaim1; Enaam Ghanim Saeed2
1College of Computer Sciences and Mathematics University of Mosul
2College of Computer Sciences and Mathematics University of Mosul, Mosul, Iraq
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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