Research Article Open Access

The Classification Model of Sandals Dhiif’s Product with Back Propagation and Fourier Descriptors Method

Wikaria Gazali1, Haryono Soeparno1 and Ngarap Im Manik1
  • 1 BINUS University Jl, Indonesia

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.

Journal of Computer Science
Volume 9 No. 2, 2013, 218-224

DOI: https://doi.org/10.3844/jcssp.2013.218.224

Submitted On: 28 December 2012 Published On: 2 April 2013

How to Cite: 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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Keywords

  • Classification
  • Back Propagation
  • Training
  • Pattern Recognition
  • Fourier Descriptors