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Title

Handwritten ZIP code Classification Using Artificial Neural Networks

Author

K. Siva Kumar, D.Uma Devi

Citation

Vol. 13  No. 8  pp. 77-81

Abstract

A new mechanism proposes the use of Artificial Neural Network (ANN) models for classifying handwritten zip-codes and also presents new techniques for to extract digits from zip-code images. Remove the slope and slant from handwritten zip-codes and normalize the size of Digit images with our proposed methods. Experiments have been conducted on handwritten ZIP codes and the classifying rates up to 99% achieved.

Keywords

ZIP code, Handwritten ZIP code, Pattern Recognition, Neural Network, Artificial Neural Network, Classification, NPR Tool, Slope correction and Slant correction.

URL

http://paper.ijcsns.org/07_book/201308/20130814.pdf