Face Recognition Using Complex Valued Backpropagation

Keywords: face recognition, 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 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.

How to Cite
Nafisah, Z., Rachmadi, F., & Imah, E. M. (2018). Face Recognition Using Complex Valued Backpropagation. Jurnal Ilmu Komputer Dan Informasi, 11(2), 103-109. https://doi.org/10.21609/jiki.v11i2.617