Handwritten Multiscript Pin Code Recognition System having Multiple hidden layers using Back Propagation Neural Network

India is a country where multiple languages are spoken depending upon the place where people live as well as their mother tongue. For example ,a person living in tamilnadu is more familiar in writing/speaking Tamil as compared to Hindi or any other language. Usually due to this problem , sometimes people write pincode in the combination of two different numeric scripting, mainly the local language (which depend on the location or the mother tongue) and the official language (which may be national language hindi or international language english).In this paper, we are concentrating on this problem of recognizing multiscript number recognition using artificial neural network on postcard, keeping accuracy as a chief criteria. This work has been tested on five different popular Indian scripts namely Hindi, Urdu, Tamil ,English and Telugu. Experiments were performed on samples by using two hidden layers having 250 neurons each and the results revealed that with the use of proper combination of number of neurons and number of layers in the neural network, accuracy upto 96% can be achieved under ideal condition