Hand writing recognition is one of the important aspects of today’s digital world.
It finds its application in many areas like, we can use it in our post office systems where the mail comes in bulk amount and separating the mail manually by a person is quite cumbersome and requires lot of time and effort, we can also use hand writing recognition system in paper marking etc. Moreover we are using neural networks to build our hand writing recognition system. The advantage of using a neural network over a statistical techniques is that if we are going to solve some problem, even from the same domain, we have to rework it from start and creates a technique which will solve the problem, which in turns requires lot of effort every time. But if we solve the same problem with the neural network systems, it only requires an effort once when we will train the system for the situation, but once the systems got trained it becomes intelligent and it will work more quickly and robustly for a set of problem for which the normal statistical techniques still requires lot of time and efforts.
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