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Simulation of Zhang Suen Algorithm using Feed- Forward Neural Networks

by Ritika Luthra, Gulshan Goyal
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Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 2 - Number 5
Year of Publication: 2015
Authors: Ritika Luthra, Gulshan Goyal
10.5120/cae2015651750

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 },
issue_date = { July 2015 },
volume = { 2 },
number = { 5 },
month = { July },
year = { 2015 },
issn = { 2394-4714 },
pages = { 9-15 },
numpages = {9},
url = { https://www.caeaccess.org/archives/volume2/number5/392-2015651750/ },
doi = { 10.5120/cae2015651750 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T19:40:42.210074+05:30
%A Ritika Luthra
%A Gulshan Goyal
%T Simulation of Zhang Suen Algorithm using Feed- Forward Neural Networks
%J Communications on Applied Electronics
%@ 2394-4714
%V 2
%N 5
%P 9-15
%D 2015
%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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Index Terms

Computer Science
Information Sciences

Keywords

Feed-forward MSE Neural Networks OCR PSNR Skeletonization Zhang and Suen

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