Research Article
Article:An Automated Mail Sorter System using SVM Classifier
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 32 - Issue 6 |
| Published: October 2011 |
| Authors: Arun K.S, Jerin Thomas |
10.5120/3909-5488
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Arun K.S, Jerin Thomas . Article:An Automated Mail Sorter System using SVM Classifier. International Journal of Computer Applications. 32, 6 (October 2011), 27-31. DOI=10.5120/3909-5488
@article{ 10.5120/3909-5488,
author = { Arun K.S,Jerin Thomas },
title = { Article:An Automated Mail Sorter System using SVM Classifier },
journal = { International Journal of Computer Applications },
year = { 2011 },
volume = { 32 },
number = { 6 },
pages = { 27-31 },
doi = { 10.5120/3909-5488 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2011
%A Arun K.S
%A Jerin Thomas
%T Article:An Automated Mail Sorter System using SVM Classifier%T
%J International Journal of Computer Applications
%V 32
%N 6
%P 27-31
%R 10.5120/3909-5488
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This paper proposes an Automated Mail Sorter (AMS) system that scans a mail and interprets one of the imperative fields of the destination address, the pin code to sort the mails. The scanned document was segmented into different fields to extract the pin code. A general classifier for the recognition of pin-code digits written in English was then employed. The recognition system consists of a feature extractor and a classification network. The feature extracted was Hu moments and the classification network was the support vector machine using a polynomial kernel of order 2. Other classification networks such as the multi feature recognizer and decomposing network were also used, but SVM gave the maximum accuracy.
References
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