تمييز الحروف العبرية باستخدام الشبكات العصبية الاصطناعية

Abstract

In this research, an intelligent computer system has been designed for
recognizing printed Hebrew letters by extracting features of the letter by
finding the Eigen values which have been used then for training and testing
the artificial neural network used in this work namely, Elman NN. This
network is used as a tool for decision making. Data were entered using a
flatbed scanner which results high extensity, fineness and homogeneous
BMP extension images. The programs were implemented by Matlab
language, the software include image enhancement techniques, image
segmentation, resize the segmented image and features extraction dependent
on eigen values and document the final result by visual basic.net because
Matlab doesn't have the ability to print the Hebrew letter as a final result.