International Journal of Applied Science & Technology Research Excellence Vol. 1, Issue 1, Nov-Dec 2011, ISSN NO. 2250 – 2718 (Print), 2250 – 2726 (Online)

In this paper, we present a system towards Indian postal automation based on PIN (Postal Index Number) code. Since India is a multilingual and multi-script country that was earlier colonized by UK, the address part may be written by combination of scripts such as Latin (English) and a local (state) script. Here, we shall consider Oriya script one of the local state language in India with English for recognition. It is very difficult to identify the script by which the PIN-code portion is written. So we have used two stage artificial neural network based general classifiers for the recognition of PIN-code digits written in Oriya. In this paper we propose a new technique namely, QuadrantMean technique to identify the numerals of PIN code written in Oriya script. By which the corresponding city name can be easily identified. The accuracy of the digit recognition module is 93.20%. Keyword Oriya Numerical Script, Postal Documents, Number recognition, Handwritten numerals, Neural Network.