Arabic Word Recognition Using Wavelet Neural Network
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 neur...
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| Format: | Article |
| Language: | English |
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Mosul University
2010-12-01
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| Series: | Al-Rafidain Journal of Computer Sciences and Mathematics |
| Subjects: | |
| Online Access: | https://csmj.mosuljournals.com/article_163913_8958e6fd73d1babe8e286f98b0137dd9.pdf |
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| _version_ | 1850222439947042816 |
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| author | Yousra Al-Irhaim Enaam Saeed |
| author_facet | Yousra Al-Irhaim Enaam Saeed |
| author_sort | Yousra Al-Irhaim |
| collection | DOAJ |
| description | 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%. |
| format | Article |
| id | doaj-art-6ef3fc1d0ce948e384c20a4c899bdea9 |
| institution | OA Journals |
| issn | 1815-4816 2311-7990 |
| language | English |
| publishDate | 2010-12-01 |
| publisher | Mosul University |
| record_format | Article |
| series | Al-Rafidain Journal of Computer Sciences and Mathematics |
| spelling | doaj-art-6ef3fc1d0ce948e384c20a4c899bdea92025-08-20T02:06:20ZengMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902010-12-0173819010.33899/csmj.2010.163913163913Arabic Word Recognition Using Wavelet Neural NetworkYousra Al-Irhaim0Enaam Saeed1College of Computer Sciences and Mathematics University of MosulCollege of Computer Sciences and Mathematics University of Mosul, Mosul, IraqIn 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%.https://csmj.mosuljournals.com/article_163913_8958e6fd73d1babe8e286f98b0137dd9.pdfsignalclassificationword |
| spellingShingle | Yousra Al-Irhaim Enaam Saeed Arabic Word Recognition Using Wavelet Neural Network Al-Rafidain Journal of Computer Sciences and Mathematics signal classification word |
| title | Arabic Word Recognition Using Wavelet Neural Network |
| title_full | Arabic Word Recognition Using Wavelet Neural Network |
| title_fullStr | Arabic Word Recognition Using Wavelet Neural Network |
| title_full_unstemmed | Arabic Word Recognition Using Wavelet Neural Network |
| title_short | Arabic Word Recognition Using Wavelet Neural Network |
| title_sort | arabic word recognition using wavelet neural network |
| topic | signal classification word |
| url | https://csmj.mosuljournals.com/article_163913_8958e6fd73d1babe8e286f98b0137dd9.pdf |
| work_keys_str_mv | AT yousraalirhaim arabicwordrecognitionusingwaveletneuralnetwork AT enaamsaeed arabicwordrecognitionusingwaveletneuralnetwork |