عنوان المقالة:نظام التعرف على الحروف العربية باستخدام طرق استخراج الميزات المتعددة ACRS: Arabic Character Recognition System Based on Multi Features Extraction Methods
أ.م.د مصطفى سلام كاظم | Mustafa Salam Kadhm | 15715
- نوع النشر
- مقال علمي
- المؤلفون بالعربي
- علياء كريم عبد الحسن, مصطفى سلام كاظم
- المؤلفون بالإنجليزي
- Mustafa S.Kadhm, Asst. Prof. Dr. Alia Karim Abdul Hassan
- الملخص العربي
- this paper proposed a new architecture for Arabic Character Recognition System Based on Multi Features Extraction Methods and SVM Classifier (ACRS). An Arabic handwriting dataset proposed as well for training and testing the proposed system. Although half of the dataset used for training the SVM and the second half used for testing, the system achieved high performance with less training data. Besides, the system achieved best recognition accuracy 99.64% based on several feature extraction methods and SVM c
- تاريخ النشر
- 01/10/2015
- الناشر
- International Journal of Scientific and Engineering Research
- رقم المجلد
- 6
- رقم العدد
- 10
- الصفحات
- 665-661
- رابط خارجي
- https://www.ijser.org/researchpaper/ACRS-Arabic-Character-Recognition-System-Based-on-Multi-Features-Extraction-Methods.pdf
- الكلمات المفتاحية
- Arabic Character, Preprocessing, Feature Extraction, Classification