عنوان المقالة:نظام التعرف على الحروف العربية باستخدام طرق استخراج الميزات المتعددة ACRS: Arabic Character Recognition System Based on Multi Features Extraction Methods
Mustafa S.Kadhm, Asst. Prof. Dr. Alia Karim Abdul Hassan
Abstract
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
Publication Date
10/1/2015
Publisher
International Journal of Scientific and Engineering Research
أ.م.د مصطفى سلام كاظم | Mustafa Salam Kadhm | 15426