The Classification Model of Sandals Dhiif’s Product with Back Propagation and Fourier Descriptors Method
Wikaria Gazali1, Haryono Soeparno1 & Ngarap Im Manik1 Show affiliations
- BINUS University Jl, Indonesia
Journal of Computer Science, Volume 9, Issue 2, pp. 218–224 · doi.org/10.3844/jcssp.2013.218.224
Abstract
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.
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Gazali, W., Soeparno, H. & Manik, N. I. (2013). The Classification Model of Sandals Dhiif’s Product with Back Propagation and Fourier Descriptors Method. Journal of Computer Science, 9(2), 218–224. https://doi.org/10.3844/jcssp.2013.218.224
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