  Even today in Twenty First Century Handwritten communication has its own
stand and most of the times, in daily life it is globally using as means of
communication and recording the information like to be shared with others.
Challenges in handwritten characters recognition wholly lie in the variation
and distortion of handwritten characters, since different people may use
different style of handwriting, and direction to draw the same shape of the
characters of their known script. This paper demonstrates the nature of
handwritten characters, conversion of handwritten data into electronic data,
and the neural network approach to make machine capable of recognizing hand
written characters.
