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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Main Authors: Zumrotun Nafisah, Febrian Rachmadi, Elly Matul Imah
Format: Article
Language:English
Published: Universitas Indonesia 2018-06-01
Series:Jurnal Ilmu Komputer dan Informasi
Subjects:
Online Access:http://jiki.cs.ui.ac.id/index.php/jiki/article/view/617
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author Zumrotun Nafisah
Febrian Rachmadi
Elly Matul Imah
author_facet Zumrotun Nafisah
Febrian Rachmadi
Elly Matul Imah
author_sort Zumrotun Nafisah
collection DOAJ
description 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.
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spelling doaj.art-f1261571dab3428593c5a45d4ccb2cdd2022-12-22T01:56:47ZengUniversitas IndonesiaJurnal Ilmu Komputer dan Informasi2088-70512502-92742018-06-0111210310910.21609/jiki.v11i2.617248Face Recognition Using Complex Valued BackpropagationZumrotun Nafisah0Febrian Rachmadi1Elly Matul Imah2Universitas Negeri SurabayaThe University of EdinburghUniversitas Negeri SurabayaFace 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.http://jiki.cs.ui.ac.id/index.php/jiki/article/view/617face recognition, complex valued backpropagation
spellingShingle Zumrotun Nafisah
Febrian Rachmadi
Elly Matul Imah
Face Recognition Using Complex Valued Backpropagation
Jurnal Ilmu Komputer dan Informasi
face recognition, complex valued backpropagation
title Face Recognition Using Complex Valued Backpropagation
title_full Face Recognition Using Complex Valued Backpropagation
title_fullStr Face Recognition Using Complex Valued Backpropagation
title_full_unstemmed Face Recognition Using Complex Valued Backpropagation
title_short Face Recognition Using Complex Valued Backpropagation
title_sort face recognition using complex valued backpropagation
topic face recognition, complex valued backpropagation
url http://jiki.cs.ui.ac.id/index.php/jiki/article/view/617
work_keys_str_mv AT zumrotunnafisah facerecognitionusingcomplexvaluedbackpropagation
AT febrianrachmadi facerecognitionusingcomplexvaluedbackpropagation
AT ellymatulimah facerecognitionusingcomplexvaluedbackpropagation