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
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.
Publication Date
5/1/2019
Publisher
The International Arab Journal of Information Technology
أ.م.د مصطفى سلام كاظم | Mustafa Salam Kadhm | 15426