An Efficient Image Thresholding Method for Arabic Handwriting Recognition System
Image preprocessinghas assumed an essential part ofhandwriting recognition system. The main primary stage of the image preprocessing is thresholding.Aneffectivethresholdingmethodis based on Fuzzy C-Means clustering (FCM) for Arabic Handwriting Recognition system (AHR) has been proposed in this paper...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Unviversity of Technology- Iraq
2016-01-01
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| Series: | Engineering and Technology Journal |
| Subjects: | |
| Online Access: | https://etj.uotechnology.edu.iq/article_112580_72bf3b8c131c23a7244fdb68a1cc2b2e.pdf |
| _version_ | 1797325919709298688 |
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| author | Alia Karim Abdul Hassan Mustafa Salam Kadhm |
| author_facet | Alia Karim Abdul Hassan Mustafa Salam Kadhm |
| author_sort | Alia Karim Abdul Hassan |
| collection | DOAJ |
| description | Image preprocessinghas assumed an essential part ofhandwriting recognition system. The main primary stage of the image preprocessing is thresholding.Aneffectivethresholdingmethodis based on Fuzzy C-Means clustering (FCM) for Arabic Handwriting Recognition system (AHR) has been proposed in this paper. Since thresholding stage in AHR isimperative to reduce the dimensionality of image to remove the undesirableinformation (noise)then increase the processing speed of the AHR system. The algorithm is performing by feedingthe intensity of the pixel value of the image pixels into the FCM clustering algorithm. Exploratory results with artificial and real life images show thatthe proposed method gives better accuracy and good efficiency than the current methods. |
| first_indexed | 2024-03-08T06:16:15Z |
| format | Article |
| id | doaj.art-2929649be6ef4f9b8a506a2759aa4f8d |
| institution | Directory Open Access Journal |
| issn | 1681-6900 2412-0758 |
| language | English |
| last_indexed | 2024-03-08T06:16:15Z |
| publishDate | 2016-01-01 |
| publisher | Unviversity of Technology- Iraq |
| record_format | Article |
| series | Engineering and Technology Journal |
| spelling | doaj.art-2929649be6ef4f9b8a506a2759aa4f8d2024-02-04T17:27:18ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582016-01-01341B263410.30684/etj.34.1B.3112580An Efficient Image Thresholding Method for Arabic Handwriting Recognition SystemAlia Karim Abdul HassanMustafa Salam KadhmImage preprocessinghas assumed an essential part ofhandwriting recognition system. The main primary stage of the image preprocessing is thresholding.Aneffectivethresholdingmethodis based on Fuzzy C-Means clustering (FCM) for Arabic Handwriting Recognition system (AHR) has been proposed in this paper. Since thresholding stage in AHR isimperative to reduce the dimensionality of image to remove the undesirableinformation (noise)then increase the processing speed of the AHR system. The algorithm is performing by feedingthe intensity of the pixel value of the image pixels into the FCM clustering algorithm. Exploratory results with artificial and real life images show thatthe proposed method gives better accuracy and good efficiency than the current methods.https://etj.uotechnology.edu.iq/article_112580_72bf3b8c131c23a7244fdb68a1cc2b2e.pdfthresholdingpreprocessingfcmclusteringarabic text |
| spellingShingle | Alia Karim Abdul Hassan Mustafa Salam Kadhm An Efficient Image Thresholding Method for Arabic Handwriting Recognition System Engineering and Technology Journal thresholding preprocessing fcmclustering arabic text |
| title | An Efficient Image Thresholding Method for Arabic Handwriting Recognition System |
| title_full | An Efficient Image Thresholding Method for Arabic Handwriting Recognition System |
| title_fullStr | An Efficient Image Thresholding Method for Arabic Handwriting Recognition System |
| title_full_unstemmed | An Efficient Image Thresholding Method for Arabic Handwriting Recognition System |
| title_short | An Efficient Image Thresholding Method for Arabic Handwriting Recognition System |
| title_sort | efficient image thresholding method for arabic handwriting recognition system |
| topic | thresholding preprocessing fcmclustering arabic text |
| url | https://etj.uotechnology.edu.iq/article_112580_72bf3b8c131c23a7244fdb68a1cc2b2e.pdf |
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