The Classification Model of Sandals Dhiif’s Product with Back Propagation and Fourier Descriptors Method
Wikaria Gazali, Haryono Soeparno and Ngarap Im Manik
DOI : 10.3844/jcssp.2013.218.224
Journal of Computer Science
Volume 9, Issue 2
Classification is a vital process in every industry. While manual classification is inefficient in terms of cost and time, the computerized techniques offer better and faster solution on this matter. Fourier Descriptors is the mathematical formulas to save objects in functions of Fourier series. While back propagation is an Artificial Neural Network (ANN) method to recognize patterns and images through ‘training’. Both of these methods will be used to produce a more efficient computerized techniques to the classification process itself.
© 2013 Wikaria Gazali, Haryono Soeparno and Ngarap Im Manik. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.