Handwritten ZIP code Classification Using Artificial Neural Networks
K. Siva Kumar, D.Uma Devi
Vol. 13 No. 8 pp. 77-81
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.
ZIP code, Handwritten ZIP code, Pattern Recognition, Neural Network, Artificial Neural Network, Classification, NPR Tool, Slope correction and Slant correction.