Face Recognition Using Complex Valued Backpropagation

Zumrotun Nafisah, Febrian Rachmadi, Elly Matul Imah

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.


Keywords


face recognition, complex valued backpropagation

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DOI: http://dx.doi.org/10.21609/jiki.v11i2.617

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