Handwritten character recognition using neural network

Abstract

Handwritten character recognition is a process of a system to access handwritten material from various sources such as paper records, photographs, touch screen apps, etc. The identification of handwritten and electronic character is a growing area of study and has wide uses in banks, offices and industries. Our Main purpose for this initiative is to develop an professional framework for the defense Indus tries. In this method a specific character of languages can be effectively identified by following a sequence using neural network. Neural computers in corporate data parallelism, and run from the processing of an ordinary computer in a special way. Developments of a certain desirable quality which classifies the input data into classes are made by neural computers after the starting state information is obtained.