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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Bibliographic Details
Published in:	Jurnal ilmu komputer dan informasi (Journal of computer science and information) (Online) Vol. 11; no. 2; pp. 103 - 109
Main Authors:	Nafisah, Zumrotun, Rachmadi, Febrian, Imah, Elly Matul
Format:	Journal Article
Language:	English
Published:	Universitas Indonesia 29.06.2018
Subjects:	face recognition, complex valued backpropagation
ISSN:	2088-7051, 2502-9274
Online Access:	Get full text
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Summary:	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