Optical character recognition with neural networks

Abstract

A neural network is defined a computing architecture that consist of massively parallel interconnection of simple neural process. Because of its parallel nature it can perform computation at a higher rate compared to the classical techniques. A neural network contains many nodes. OCR is the acronym for Optical Character Recognition. This technology allows a machine to automatically recognize characters through as optical mechanism. Character reorganization device is one of such smart devices that acquire partial human intelligence with the ability to capture and recognize various characters and digits. Character recognition techniques help in recognizing the characters written on paper documents and converting it in digital form. So Character recognition is gaining interest and importance in the modern world. While the area of character recognition is vast we focus on the fundamentals of character recognition, available techniques and emphasis on more recently used technique, neural networks. Recognizing characters, letters or digits for human beings is not a big task. It can even be done by small child, but doing the same with machine is a difficult task. Machine simulation of human functions has been a very challenging research area since the advent of digital computers. Character recognition techniques help in recognizing the characters written on paper documents and converting it in digital form. So Character recognition is gaining interest and importance in the modern world. The paper throws light on, one of the application of Neural Network (NN) i.e. Character Recognition. [ABSTRACT FROM AUTHOR]