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Febrian Rachmadi
The University of Edinburgh
Computer Science & IT Library & Information Science

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Face Recognition Using Complex Valued Backpropagation Zumrotun Nafisah; Febrian Rachmadi; Elly Matul Imah
Jurnal Ilmu Komputer dan Informasi Vol 11, No 2 (2018): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (405.143 KB) | DOI: 10.21609/jiki.v11i2.617

Abstract

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.
Co-Authors Elly Matul Imah Zumrotun Nafisah