Face Recognition Using Complex Valued Backpropagation

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...

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Vydané v:Jurnal ilmu komputer dan informasi (Journal of computer science and information) (Online) Ročník 11; číslo 2; s. 103 - 109
Hlavní autori: Nafisah, Zumrotun, Rachmadi, Febrian, Imah, Elly Matul
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Universitas Indonesia 29.06.2018
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ISSN:2088-7051, 2502-9274
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Shrnutí: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.
ISSN:2088-7051
2502-9274
DOI:10.21609/jiki.v11i2.617