Jurnal Ilmu Komputer dan Informasi (Jun 2018)

Face Recognition Using Complex Valued Backpropagation

  • Zumrotun Nafisah,
  • Febrian Rachmadi,
  • Elly Matul Imah

DOI
https://doi.org/10.21609/jiki.v11i2.617
Journal volume & issue
Vol. 11, no. 2
pp. 103 – 109

Abstract

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Face recognition is one of biometrical research area that is still interesting. This study discusses the Complex-Valued Backpropagation algorithm for face recognition. Complex-Valued Backpropagation is an algorithm modified from Real-Valued Backpropagation algorithm where the weights and activation functions used are complex. The dataset used in this study consist of 250 images that is classified in 5 classes. The performance of face recognition using Complex-Valued Backpropagation is also compared with Real-Valued Backpropagation algorithm. Experimental results have shown that Complex-Valued Backpropagation performance is better than Real-Valued Backpropagation.

Keywords