Automatic recognition of arabic printed scripts
| المصدر: | أعمال الندوة الدولية: تمكين اللغات، التكنولوجيا والاتصال |
|---|---|
| الناشر: | معهد الدراسات والأبحاث للتعريب |
| المؤلف الرئيسي: | Fakir, Mohamed (Author) |
| المجلد/العدد: | مج2 |
| محكمة: | نعم |
| الدولة: |
المغرب |
| التاريخ الميلادي: |
1997
|
| مكان انعقاد المؤتمر: | الرباط |
| الهيئة المسؤولة: | معهد الدراسات و الأبحاث للتعريب بالرباط |
| الشهر: | أكتوبر |
| الصفحات: | 121 - 146 |
| رقم MD: | 594242 |
| نوع المحتوى: | بحوث المؤتمرات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | AraBase |
| مواضيع: | |
| رابط المحتوى: |
عدد مرات التحميل
4
| المستخلص: |
The subject of character recognition has been receiving considerable attention in recent years due to the increasing dependence on computer data processing. Several methods for recognizing Latin, Chinese and Arabic characters have been proposed. In this paper, a recognition system for Arabic printed scripts is presented. The process consists of three phases. In the first phase, preprocessing is done. In the second phase, features are extracted using Hough transform (HT),. Fourier descriptors (FD) and moment invariants. In the last one, characters are classified in two steps: Firstly, the character main body is classified using Dynamic Programming (DP). Secondly, simple topological features extracted from the geometry of the stress marks are used by the topological classifier to completely recognize the character. The result obtained by HT application is compared to the ones obtained by using Fourier descriptors and moment invariants. By the application of moment invariants, characters are recognized in one step. It has been found that moment invariants give high recognition rate than HT and FD. |
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