Latin Character Recognition using Neural Networks

Character Recognition using Neural Networks

This paper presents creating the Character Recognition System, in which Creating a Character Matrix and a corresponding Suitable Network Structure is key. In addition, knowledge of how one is Deriving the Input from a Character Matrix must first be obtained before one may proceed. Afterwards, the Feed Forward Algorithm gives insight into the enter workings of a neural network; followed by the B...

Hand printed Character Recognition using Neural Networks

In this paper an attempt is made to recognize hand-printed characters by using features extracted using the proposed sector approach. In this approach, the normalized and thinned character image is divided into sectors with each sector covering a fixed angle. The features totaling 32 include vector distances, angles, occupancy and end-points. For recognition, both neural networks and fuzzy logi...

Optical Character Recognition using Neural Networks

Handwritten Character Recognition Using Neural Networks

The aim of this work is to assess the possibility of having on-line handwriting recognition abilities on a small portable computer. We studied the recognitions rates dependence on the target character set and the incremental training made possible by new neural network techniques. We worked on cross-cultural data gathered from French and Dutch people containing about 70000 characters from 200 p...

Arabic Character Recognition Using Neural Networks

This paper proposes a technique for recognizing Arabic characters. This technique involves of three parts: body classifier, complementary classifier, and aggregate classifier. The body classifier is designed to recognize the main body of the unknown character. It uses a Hopfield network to enhance the unknown character and to get rid of noise and associated complementary. Furthermore, it uses a...