عنوان المقالة:تجهيز إطار عمل كفوء لنظام التعرف على الكتابة اليدوية للغة العربية An Efficient Preprocessing Framework for Arabic Handwriting Recognition System
Image preprocessing has assumed an essential part in Arabic Handwriting Recognition System
(AHRS). It has several stages which affect the accuracy of the recognition system. An efficient
preprocessing framework for Arabic handwriting recognition system has been proposed in this
paper. Since preprocessing stage in AHRS is imperative to reduce the dimensionality of image
to remove the undesirable information then increase the processing speed of the AHRS.
Besides, it provide correction process for the dataset elements to make it work probably through
several processes that will discuss in this paper. Exploratory results with artificial and real life
images shows that, the proposed method gives an efficient results that help to get a high
recognition rate in the AHRS.