Call for Paper
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Simulation of Zhang Suen Algorithm using Feed- Forward Neural Networks
Ritika Luthra and Gulshan Goyal. Article: Simulation of Zhang Suen Algorithm using Feed- Forward Neural Networks. Communications on Applied Electronics 2(5):9-15, July 2015. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX
@article{key:article, author = {Ritika Luthra and Gulshan Goyal}, title = {Article: Simulation of Zhang Suen Algorithm using Feed- Forward Neural Networks}, journal = {Communications on Applied Electronics}, year = {2015}, volume = {2}, number = {5}, pages = {9-15}, month = {July}, note = {Published by 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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Keywords
Feed-forward, MSE, Neural Networks, OCR, PSNR, Skeletonization, Zhang and Suen