Face Recognition Using Complex Valued Backpropagation

Zumrotun Nafisah, Febrian Rachmadi, Elly Matul Imah


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.


face recognition, complex valued backpropagation

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DOI: https://doi.org/10.21609/jiki.v11i2.617


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