Printed Arabic Character Recognition Using Variation Method and Discrete Cosine Transform
Automatic character recognition has been the subject of intensive research for almost last decades. Because of the complexity of printed and handwritten Arabic text a little research has been conducted on the automatic recognition of Arabic characters. This research proposed a new technique for reco...
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| Published in | al-Tarbiyah wa-al-ʻilm lil-ʻulūm al-insānīyah : majallah ʻilmīyah muḥakkamah taṣduru ʻan Kullīyat al-Tarbiyah lil-ʻUlūm al-Insānīyah fī Jāmiʻat al-Mawṣil Vol. 26; no. 4; pp. 112 - 125 |
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| Main Author | |
| Format | Journal Article |
| Language | Arabic English |
| Published |
الموصل، العراق
جامعة الموصل - كلية التربية
01.10.2013
جامعة الموصل، كلية التربية للعلوم الصرفة College of Education for Pure Sciences |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1812-125X 2664-2530 |
| DOI | 10.33899/edusj.2013.89975 |
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| Abstract | Automatic character recognition has been the subject of intensive
research for almost last decades. Because of the complexity of printed
and handwritten Arabic text a little research has been conducted on the
automatic recognition of Arabic characters. This research proposed a new
technique for recognizing printed Arabic character.
After acquisition Arabic character image a number of
preprocessing steps are performed for the digitized image. These steps
generally include smoothing by using median filter, the horizontal and
vertical histogram profile are used for segmentation and a standard Guo
thinning algorithm for thinning, Etc.. Variation Method and Discrete
Cosine Transform Method are used for feature extraction. For classification radial basis function (RBF) network are used. This method
performs extremely well. This new technique is able to handle printed
Arabic character task efficiently.
أن التمییز الآلي للحروف كان موضوع البحث المركز للعقود الماضیة، و لان الحروف العربیة سواء المكتوبة بالید أو المطبوعة ذات طبیعة متصلة لذلك كانت الأعمال على الكتابة الأخرى. یقدم البحث تقنیة جدیدة لتمییز الأحرف العربیة العربیة قلیلة نسبیا مقارنة بالحروف المطبوعة. بعد عملیة إدخال صور الأحرف العربیة تجري علیها عدة عملیات كإزالة الضوضاء باستخدام الفلتر الوسیط و تقسیم النص إلى حروف باستخدام المساقط العمودیة و الأفقیة و استخدمت خوارزمیة Guo القیاسیة للتنحیف. و استخدمت طریقة التغییر و طریقة تحویل الجیب تمام المتقطع لاستخلاص صفات الحرف. و للتصنیف استخدمت شبكة radial basis function (RBF) network . بعد إجراء عدة اختبارات أعطت التقنیة المستخدمة نتائج جیدة جدا. |
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| AbstractList | Automatic character recognition has been the subject of intensive
research for almost last decades. Because of the complexity of printed
and handwritten Arabic text a little research has been conducted on the
automatic recognition of Arabic characters. This research proposed a new
technique for recognizing printed Arabic character.
After acquisition Arabic character image a number of
preprocessing steps are performed for the digitized image. These steps
generally include smoothing by using median filter, the horizontal and
vertical histogram profile are used for segmentation and a standard Guo
thinning algorithm for thinning, Etc.. Variation Method and Discrete
Cosine Transform Method are used for feature extraction. For classification radial basis function (RBF) network are used. This method
performs extremely well. This new technique is able to handle printed
Arabic character task efficiently.
أن التمییز الآلي للحروف كان موضوع البحث المركز للعقود الماضیة، و لان الحروف العربیة سواء المكتوبة بالید أو المطبوعة ذات طبیعة متصلة لذلك كانت الأعمال على الكتابة الأخرى. یقدم البحث تقنیة جدیدة لتمییز الأحرف العربیة العربیة قلیلة نسبیا مقارنة بالحروف المطبوعة. بعد عملیة إدخال صور الأحرف العربیة تجري علیها عدة عملیات كإزالة الضوضاء باستخدام الفلتر الوسیط و تقسیم النص إلى حروف باستخدام المساقط العمودیة و الأفقیة و استخدمت خوارزمیة Guo القیاسیة للتنحیف. و استخدمت طریقة التغییر و طریقة تحویل الجیب تمام المتقطع لاستخلاص صفات الحرف. و للتصنیف استخدمت شبكة radial basis function (RBF) network . بعد إجراء عدة اختبارات أعطت التقنیة المستخدمة نتائج جیدة جدا. Abstract Automatic character recognition has been the subject of intensive research for almost last decades. Because of the complexity of printed and handwritten Arabic text a little research has been conducted on the automatic recognition of Arabic characters. This research proposed a new technique for recognizing printed Arabic character. After acquisition Arabic character image a number of preprocessing steps are performed for the digitized image. These steps generally include smoothing by using median filter, the horizontal and vertical histogram profile are used for segmentation and a standard Guo thinning algorithm for thinning, Etc.. Variation Method and Discrete Cosine Transform Method are used for feature extraction. For classification radial basis function (RBF) network are used. This method performs extremely well. This new technique is able to handle printed Arabic character task efficiently. |
| Author | Mahmood, Hanaa Fathi |
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| Snippet | Automatic character recognition has been the subject of intensive
research for almost last decades. Because of the complexity of printed
and handwritten Arabic... Abstract Automatic character recognition has been the subject of intensive research for almost last decades. Because of the complexity of printed and... |
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| SubjectTerms | Arabic character sets (Data processing) discrete cosine transform Optical character recognition printed arabic variation method الحروف العربية الكتابة العربية اللغة العربية برامج الحاسوب تقنيات الطباعة جيب التمام معالجة البيانات |
| Title | Printed Arabic Character Recognition Using Variation Method and Discrete Cosine Transform |
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