عنوان المقالة:نظام التعرف على الحروف العربية المعزولة في وضع عدم الاتصال بناءً على SVM Offline Isolated Arabic Handwriting Character Recognition System Based on SVM
أ.م.د مصطفى سلام كاظم | Mustafa Salam Kadhm | 15679
نوع النشر
مقال علمي
المؤلفون بالعربي
علياء كريم عبد الحسن, مصطفى سلام كاظم
المؤلفون بالإنجليزي
Dr. Alia Karim Abdul Hassan, Mustafa Salam Kadhm
الملخص العربي
This paper proposed a new architecture for Offline Isolated Arabic Handwriting Character Recognition System Based on SVM (OIAHCR). An Arabic handwriting dataset also proposed 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 classifier. Experimental results show that the linear kernel of SVM is convergent and more accurate for recognition than other SVM kernels.
تاريخ النشر
01/05/2019
الناشر
The International Arab Journal of Information Technology
رقم المجلد
15
رقم العدد
3
الصفحات
467-472
رابط خارجي
http://iajit.org/PDF/May%202019,%20No.%203/11448.pdf
الكلمات المفتاحية
Arabic character, pre-processing, feature extraction, classification.
رجوع