عناصر مشابهة
Machine Printed Arabic character Recognition Using S-GCM
| المصدر: | مجلة التواصل اللساني |
|---|---|
| الناشر: |
مؤسسة العرفان للإستشارات التربوية والتطوير المهني
|
| المؤلف الرئيسي: | |
| مؤلفين آخرين: | |
| المجلد/العدد: | مج15, ع1,2 |
| محكمة: | نعم |
| الدولة: | المغرب |
| التاريخ الميلادي: | 2013 |
| الصفحات: | 163 - 170 |
| ISSN: | 0851-6774 |
| رقم MD: | 596877 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | English |
| قواعد المعلومات: | AraBase |
| مواضيع: | |
| رابط المحتوى: |
|
| LEADER | 01460nam a22002177a 4500 | ||
|---|---|---|---|
| 001 | 0011333 | ||
| 041 | |a eng | ||
| 044 | |b المغرب | ||
| 100 | |9 52358 |a Zheng, Liying |e Author | ||
| 245 | |a Machine Printed Arabic character Recognition Using S-GCM | ||
| 260 | |b مؤسسة العرفان للإستشارات التربوية والتطوير المهني |c 2013 | ||
| 300 | |a 163 - 170 | ||
| 336 | |a بحوث ومقالات |b Article | ||
| 520 | |b Arabic characters are widely used in Arabic speaking countries as well as in languages such as Persian and Urdu. However, little work has been done on the recognition of Arabic characters. This paper proposes a new method for the recognition of machine printed Arabic characters. The proposed method employs Ishii et al's chaotic neural network model, which is called globally coupled map using the symmetric map (S- GCM), for recognizing Arabic characters. The proposed method is tested on two fonts, Simplified Arabic and Arabic Transparent, and 9 sizes, 8, 9, 10, 11, 12, 14, 16, 18, 20. The recognition rate is over 97%. | ||
| 653 | |a الحروف العربية |a آلات الطباعة | ||
| 700 | |9 49679 |a Tang, Xianglong |e Advisor | ||
| 773 | |4 علم اللغة |6 Linguistics |c 003 |l 001,002 |m مج15, ع1,2 |o 1361 |s مجلة التواصل اللساني |t Journal of linguistic communication |v 015 |x 0851-6774 | ||
| 856 | |u 1361-015-001,002-003.pdf | ||
| 930 | |d y |p y |q y | ||
| 995 | |a AraBase | ||
| 999 | |c 596877 |d 596877 | ||
