Simulation of Zhang Suen Algorithm using Feed- Forward Neural Networks
Zhàng
DOI:
10.5120/cae2015651750
Publication Date:
2015-07-25T01:05:49Z
AUTHORS (2)
ABSTRACT
Image Skeletonization plays a very crucial role in image processing as it has been used various applications such pattern recognition, fingerprint analysis, Signature verification etc. 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 MSE, PSNR, and Execution time calculated Gurumukhi characters.Performance graphs have plotted.
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