Building an Intelligent System to Distinguish Russian Printed Letters using Artificial Neural Networks

In this research, an intelligent computer system is designed for recognizing printed Russian letters by extracting features of the letter by finding the Eigen values which then used 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 is entered using a flatbed scanner which results in high extensity, fineness and homogeneous BMP extension images. The programs are implemented by Matlab language, the software include image enhancement techniques, image segmentation, resize the segmented image and features extraction dependent on Eigen values .These values are then used to train and test the Elman Neural Network. In this work the pass ratio of recognition up to 90 % .