Research Article
Simulation of Zhang Suen Algorithm using Feed- Forward Neural Networks
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Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
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| Volume 2 - Issue 5 |
| Published: July 2015 |
| Authors: Ritika Luthra, Gulshan Goyal |
10.5120/cae2015651750
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Ritika Luthra, Gulshan Goyal . Simulation of Zhang Suen Algorithm using Feed- Forward Neural Networks. Communications on Applied Electronics. 2, 5 (July 2015), 9-15. DOI=10.5120/cae2015651750
@article{ 10.5120/cae2015651750,
author = { Ritika Luthra,Gulshan Goyal },
title = { Simulation of Zhang Suen Algorithm using Feed- Forward Neural Networks },
journal = { Communications on Applied Electronics },
year = { 2015 },
volume = { 2 },
number = { 5 },
pages = { 9-15 },
doi = { 10.5120/cae2015651750 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Ritika Luthra
%A Gulshan Goyal
%T Simulation of Zhang Suen Algorithm using Feed- Forward Neural Networks%T
%J Communications on Applied Electronics
%V 2
%N 5
%P 9-15
%R 10.5120/cae2015651750
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Image Skeletonization plays a very crucial role in image processing as it has been used in various applications such as pattern recognition, fingerprint analysis, Signature verification etc. Image skeletonization process generates unit pixel width skeletons. Present paper considers feed forward neural network approach for simulation of Zhang-Suen algorithm. Network parameters are chosen based on experimentation. Values of MSE, PSNR, and Execution time are calculated for Gurumukhi characters. Performance graphs have been plotted.
References
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