using neural networks to desciminate between Arabic and Latin writing
| المصدر: | وقائع الندوة الدولية : المعالجة الآلية للغة العربية |
|---|---|
| الناشر: | معهد الدراسات والأبحاث للتعريب |
| المؤلف الرئيسي: | Boumaza, Kamel (Author) |
| مؤلفين آخرين: | Sellami, Mokhtar (Co-Author) |
| محكمة: | نعم |
| الدولة: |
المغرب |
| التاريخ الميلادي: |
2007
|
| الشهر: | يناير |
| الصفحات: | 106 - 118 |
| رقم MD: | 594240 |
| نوع المحتوى: | بحوث المؤتمرات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | AraBase |
| مواضيع: | |
| رابط المحتوى: |
عدد مرات التحميل
11
| المستخلص: |
In this paper, we propose a method of an Arabic and Latin discrimination writings, based on morphological, geometrical and statistical analysis. We focused on feature extractions in order to curry out a system able to differentiate between printed or handwritten Arabic and Latin scripts. First, an image acquisition is made by means of a scanner, and then come some pre-treatment steps. After that, we extract the different features constituting an input vector of multi¬layer perceptron (MLP) with back-propagation algorithm. Finally and thanks to the network outputs we have been able to undertake a discrimination of each script (Printed or handwritten). The aim of our work is to constitute a postal sorting system in French-Arabic sneaking countries. |
|---|---|
| وصف العنصر: |
المقال باللغة الانجليزية |
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